PROTEOMICS / Feb 01, 2008

Pieroni, E., de la Fuente van Bentem, S., Mancosu, G., Capobianco, E., Hirt, H., & de la Fuente, A. (2008). Protein networking: insights into global functional organization of proteomes. PROTEOMICS, 8(4), 799–816. Portico. https://doi.org/10.1002/pmic.200700767

Trends in Molecular Medicine / Sep 01, 2013

Capobianco, E., & Lio’, P. (2013). Comorbidity: a multidimensional approach. Trends in Molecular Medicine, 19(9), 515–521. https://doi.org/10.1016/j.molmed.2013.07.004

Frontiers in Immunology / Feb 11, 2015

Kleiman, E., Salyakina, D., De Heusch, M., Hoek, K. L., Llanes, J. M., Castro, I., Wright, J. A., Clark, E. S., Dykxhoorn, D. M., Capobianco, E., Takeda, A., Renauld, J.-C., & Khan, W. N. (2015). Distinct Transcriptomic Features are Associated with Transitional and Mature B-Cell Populations in the Mouse Spleen. Frontiers in Immunology, 6. https://doi.org/10.3389/fimmu.2015.00030

PLoS ONE / Apr 22, 2014

Capobianco, E., Mora, A., La Sala, D., Roberti, A., Zaki, N., Badidi, E., Taranta, M., & Cinti, C. (2014). Separate and Combined Effects of DNMT and HDAC Inhibitors in Treating Human Multi-Drug Resistant Osteosarcoma HosDXR150 Cell Line. PLoS ONE, 9(4), e95596. https://doi.org/10.1371/journal.pone.0095596

IEEE Access / Jan 01, 2016

Ianuale, N., Schiavon, D., & Capobianco, E. (2016). Smart Cities, Big Data, and Communities: Reasoning From the Viewpoint of Attractors. IEEE Access, 4, 41–47. https://doi.org/10.1109/access.2015.2500733

Computational Economics / Apr 01, 2004

Capobianco, E. (2004). Multiscale Analysis of Stock Index Return Volatility. Computational Economics, 23(3), 219–237. https://doi.org/10.1023/b:csem.0000022834.86489.e5

Clinical and Translational Medicine / Jul 25, 2017

Capobianco, E. (2017). Systems and precision medicine approaches to diabetes heterogeneity: a Big Data perspective. Clinical and Translational Medicine, 6(1). Portico. https://doi.org/10.1186/s40169-017-0155-4

Molecular Cancer / Apr 28, 2017

Marranci, A., Jiang, Z., Vitiello, M., Guzzolino, E., Comelli, L., Sarti, S., Lubrano, S., Franchin, C., Echevarría-Vargas, I., Tuccoli, A., Mercatanti, A., Evangelista, M., Sportoletti, P., Cozza, G., Luzi, E., Capobianco, E., Villanueva, J., Arrigoni, G., Signore, G., … Poliseno, L. (2017). The landscape of BRAF transcript and protein variants in human cancer. Molecular Cancer, 16(1). https://doi.org/10.1186/s12943-017-0645-4

The European Physical Journal B - Condensed Matter / May 01, 2002

Capobianco, E. (2002). Hammerstein system represention of financial volatility processes. The European Physical Journal B - Condensed Matter, 27(2), 201–211. https://doi.org/10.1140/epjb/e20020154

Journal of Management Analytics / Mar 26, 2015

Ianuale, N., Schiavon, D., & Capobianco, E. (2015). Smart cities and urban networks: are smart networks what we need? Journal of Management Analytics, 2(4), 285–294. https://doi.org/10.1080/23270012.2015.1023856

International Journal of Theoretical and Applied Finance / Jun 01, 2001

CAPOBIANCO, E. (2001). WAVELET TRANSFORMS FOR THE STATISTICAL ANALYSIS OF RETURNS GENERATING STOCHASTIC PROCESSES. International Journal of Theoretical and Applied Finance, 04(03), 511–534. https://doi.org/10.1142/s0219024901001097

Journal of Complex Networks / Jan 07, 2015

Capobianco, E., & Liò, P. (2015). Comorbidity networks: beyond disease correlations. Journal of Complex Networks, 3(3), 319–332. https://doi.org/10.1093/comnet/cnu048

Computational and Structural Biotechnology Journal / Sep 01, 2014

Capobianco, E. (2014). RNA-Seq Data: A Complexity Journey. Computational and Structural Biotechnology Journal, 11(19), 123–130. https://doi.org/10.1016/j.csbj.2014.09.004

Frontiers in Genetics / Jan 01, 2012

Capobianco, E. (2012). Ten Challenges for Systems Medicine. Frontiers in Genetics, 3. https://doi.org/10.3389/fgene.2012.00193

Quantitative Finance / Apr 01, 2002

Capobianco, E. (2002). Multiresolution approximation for volatility processes. Quantitative Finance, 2(2), 91–110. https://doi.org/10.1088/1469-7688/2/2/301

Computational Statistics & Data Analysis / Mar 01, 2003

Capobianco, E. (2003). Independent Multiresolution Component Analysis and Matching Pursuit. Computational Statistics & Data Analysis, 42(3), 385–402. https://doi.org/10.1016/s0167-9473(02)00217-7

Journal of Personalized Medicine / Mar 02, 2020

Capobianco, E., & Dominietto, M. (2020). From Medical Imaging to Radiomics: Role of Data Science for Advancing Precision Health. Journal of Personalized Medicine, 10(1), 15. https://doi.org/10.3390/jpm10010015

Jan 26, 2021

Gialluisi, A., Di Castelnuovo, A., Costanzo, S., Bonaccio, M., Persichillo, M., Magnacca, S., De Curtis, A., Cerletti, C., Donati, M. B., de Gaetano, G., Capobianco, E., & Iacoviello, L. (2021). Exploring domains, clinical implications and environmental associations of a deep learning marker of biological ageing. https://doi.org/10.1101/2021.01.22.21250338

Molecular Oncology / Sep 10, 2014

Dominietto, M., Tsinoremas, N., & Capobianco, E. (2014). Integrative analysis of cancer imaging readouts by networks. Molecular Oncology, 9(1), 1–16. Portico. https://doi.org/10.1016/j.molonc.2014.08.013

Statistical Applications in Genetics and Molecular Biology / Jan 09, 2010

Marras, E., Travaglione, A., & Capobianco, E. (2010). Sub-Modular Resolution Analysis by Network Mixture Models. Statistical Applications in Genetics and Molecular Biology, 9(1). https://doi.org/10.2202/1544-6115.1523

Frontiers in Immunology / Jul 31, 2017

Sharma, A., Cinti, C., & Capobianco, E. (2017). Multitype Network-Guided Target Controllability in Phenotypically Characterized Osteosarcoma: Role of Tumor Microenvironment. Frontiers in Immunology, 8. https://doi.org/10.3389/fimmu.2017.00918

Journal of Translational Medicine / Feb 12, 2019

Capobianco, E. (2019). Data-driven clinical decision processes: it’s time. Journal of Translational Medicine, 17(1). https://doi.org/10.1186/s12967-019-1795-5

Frontiers in Genetics / May 23, 2014

Raju, H. B., Englander, Z., Capobianco, E., Tsinoremas, N. F., & Lerch, J. K. (2014). Identification of potential therapeutic targets in a model of neuropathic pain. Frontiers in Genetics, 5. https://doi.org/10.3389/fgene.2014.00131

2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society / Aug 01, 2007

Rabeson, H., Ratiney, H., van Ormondt, D., & Graveron-Demilly, D. (2007). Semi-Parametric Estimation in Magnetic Resonance Spectroscopy: Automation of the Disentanglement Procedure. 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. https://doi.org/10.1109/iembs.2007.4352377

Physica A: Statistical Mechanics and its Applications / Mar 01, 2003

Capobianco, E. (2003). Empirical volatility analysis: feature detection and signal extraction with function dictionaries. Physica A: Statistical Mechanics and Its Applications, 319, 495–518. https://doi.org/10.1016/s0378-4371(02)01369-9

Frontiers in Neurology / Oct 18, 2016

Raju, H. B., Tsinoremas, N. F., & Capobianco, E. (2016). Emerging Putative Associations between Non-Coding RNAs and Protein-Coding Genes in Neuropathic Pain: Added Value from Reusing Microarray Data. Frontiers in Neurology, 7. https://doi.org/10.3389/fneur.2016.00168

Journal of Investigative Dermatology / Jun 01, 2015

Marranci, A., Tuccoli, A., Vitiello, M., Mercoledi, E., Sarti, S., Lubrano, S., Evangelista, M., Fogli, A., Valdes, C., Russo, F., Monte, M. D., Caligo, M. A., Pellegrini, M., Capobianco, E., Tsinoremas, N., & Poliseno, L. (2015). Identification of BRAF 3′UTR Isoforms in Melanoma. Journal of Investigative Dermatology, 135(6), 1694–1697. https://doi.org/10.1038/jid.2015.47

Applied Stochastic Models and Data Analysis / Dec 01, 1996

Capobianco, E. (1996). State-space stochastic volatility models: A review of estimation algorithms. Applied Stochastic Models and Data Analysis, 12(4), 265–279. https://doi.org/10.1002/(sici)1099-0747(199612)12:4<265::aid-asm288>3.0.co;2-n

Applied Stochastic Models and Data Analysis / Dec 01, 1996

Capobianco, E. (1996). State-space stochastic volatility models: A review of estimation algorithms. Applied Stochastic Models and Data Analysis, 12(4), 265–279. https://doi.org/10.1002/(sici)1099-0747(199612)12:4<265::aid-asm288>3.0.co;2-n

JBMR Plus / Dec 01, 2021

Quigley, M., Rieger, S., Capobianco, E., Wang, Z., Zhao, H., Hewison, M., & Lisse, T. S. (2021). Vitamin D Modulation of Mitochondrial Oxidative Metabolism and <scp>mTOR</scp> Enforces Stress Adaptations and Anticancer Responses. JBMR Plus, 6(1). Portico. https://doi.org/10.1002/jbm4.10572

Frontiers in Genetics / Mar 31, 2014

Mora, A., Taranta, M., Zaki, N., Badidi, E., Cinti, C., & Capobianco, E. (2014). Ensemble inference by integrative cancer networks. Frontiers in Genetics, 5. https://doi.org/10.3389/fgene.2014.00059

Physica A: Statistical Mechanics and its Applications / Dec 01, 2004

Capobianco, E. (2004). Multiscale stochastic dynamics in finance. Physica A: Statistical Mechanics and Its Applications, 344(1–2), 122–127. https://doi.org/10.1016/j.physa.2004.06.100

Current Pharmaceutical Biotechnology / Jun 21, 2016

Gherardini, L., Sharma, A., Capobianco, E., & Cinti, C. (2016). Targeting Cancer with Epi-Drugs: A Precision Medicine Perspective. Current Pharmaceutical Biotechnology, 17(10), 856–865. https://doi.org/10.2174/1381612822666160527154757

Frontiers in Digital Humanities / Nov 10, 2015

Capobianco, E. (2015). On Digital Therapeutics. Frontiers in Digital Humanities, 2. https://doi.org/10.3389/fdigh.2015.00006

Theoretical Biology and Medical Modelling / May 01, 2014

El Baroudi, M., La Sala, D., Cinti, C., & Capobianco, E. (2014). Pathway landscapes and epigenetic regulation in breast cancer and melanoma cell lines. Theoretical Biology and Medical Modelling, 11(S1). https://doi.org/10.1186/1742-4682-11-s1-s8

Measurement Science and Technology / Sep 04, 2009

Popa, E., Capobianco, E., de Beer, R., van Ormondt, D., & Graveron-Demilly, D. (2009). In vivo quantitation of metabolites with an incomplete model function. Measurement Science and Technology, 20(10), 104032. https://doi.org/10.1088/0957-0233/20/10/104032

In Silico Biology / Jan 01, 2009

Soggiu, A., Marullo, O., Roncada, P., & Capobianco, E. (2009). Empowering Spot Detection in 2DE Images by Wavelet Denoising. In Silico Biology, 9(3), 125–133. https://doi.org/10.3233/isb-2009-0393

Physica A: Statistical Mechanics and its Applications / Jul 01, 2008

Capobianco, E. (2008). Kernel methods and flexible inference for complex stochastic dynamics. Physica A: Statistical Mechanics and Its Applications, 387(16–17), 4077–4098. https://doi.org/10.1016/j.physa.2008.03.003

NMR in Biomedicine / Jan 01, 2005

Ratiney, H., Sdika, M., Coenradie, Y., Cavassila, S., Ormondt, D. van, & Graveron-Demilly, D. (2005). Time-domain semi-parametric estimation based on a metabolite basis set. NMR in Biomedicine, 18(1), 1–13. https://doi.org/10.1002/nbm.895

Statistical Modeling by Wavelets / Apr 19, 1999

Wavelets. (1999). Wiley Series in Probability and Statistics, 43–99. Portico. https://doi.org/10.1002/9780470317020.ch3

Frontiers in Medicine / Jan 17, 2020

Dominietto, M., Pica, A., Safai, S., Lomax, A. J., Weber, D. C., & Capobianco, E. (2020). Role of Complex Networks for Integrating Medical Images and Radiomic Features of Intracranial Ependymoma Patients in Response to Proton Radiotherapy. Frontiers in Medicine, 6. https://doi.org/10.3389/fmed.2019.00333

Frontiers in Genetics / Jan 01, 2012

Capobianco, E. (2012). Dynamic Networks in Systems Medicine. Frontiers in Genetics, 3. https://doi.org/10.3389/fgene.2012.00185

Frontiers in Pharmacology / Nov 29, 2016

Dominietto, M. D., & Capobianco, E. (2016). Expected Impacts of Connected Multimodal Imaging in Precision Oncology. Frontiers in Pharmacology, 7. https://doi.org/10.3389/fphar.2016.00451

Methods in Molecular Biology / Jan 01, 2014

Valdes, C., & Capobianco, E. (2014). Methods to Detect Transcribed Pseudogenes: RNA-Seq Discovery Allows Learning Through Features. Pseudogenes, 157–183. https://doi.org/10.1007/978-1-4939-0835-6_11

Functional & Integrative Genomics / Dec 07, 2007

Capobianco, E. (2007). Model validation for gene selection and regulation maps. Functional &amp; Integrative Genomics, 8(2), 87–99. https://doi.org/10.1007/s10142-007-0066-3

Journal of Bioinformatics and Computational Biology / Oct 01, 2005

CAPOBIANCO, E. (2005). MINING TIME-DEPENDENT GENE FEATURES. Journal of Bioinformatics and Computational Biology, 03(05), 1191–1205. https://doi.org/10.1142/s0219720005001454

BMC Systems Biology / Jul 23, 2010

Marras, E., Travaglione, A., Chaurasia, G., Futschik, M., & Capobianco, E. (2010). Inferring modules from human protein interactome classes. BMC Systems Biology, 4(1). https://doi.org/10.1186/1752-0509-4-102

Journal of Clinical Medicine / May 11, 2019

Capobianco, E. (2019). Next Generation Networks: Featuring the Potential Role of Emerging Applications in Translational Oncology. Journal of Clinical Medicine, 8(5), 664. https://doi.org/10.3390/jcm8050664

Journal of Clinical Medicine / Jul 27, 2018

Cavallo, P., Pagano, S., De Santis, M., & Capobianco, E. (2018). General Practitioners Records Are Epidemiological Predictors of Comorbidities: An Analytical Cross-Sectional 10-Year Retrospective Study. Journal of Clinical Medicine, 7(8), 184. https://doi.org/10.3390/jcm7080184

Journal of Complex Networks / Jul 09, 2015

Mora, A., Taranta, M., Zaki, N., Cinti, C., & Capobianco, E. (2015). Epigenetically driven network cooperativity: meta-analysis in multi-drug resistant osteosarcoma. Journal of Complex Networks, 4(2), 296–317. https://doi.org/10.1093/comnet/cnv017

Frontiers in Genetics / Apr 07, 2014

Pelosi, G., Rocchiccioli, S., Cecchettini, A., Viglione, F., Puntoni, M., Parodi, O., Capobianco, E., & Trivella, M. G. (2014). Inflammation blood and tissue factors of plaque growth in an experimental model evidenced by a systems approach. Frontiers in Genetics, 5. https://doi.org/10.3389/fgene.2014.00070

Computational Statistics & Data Analysis / Jan 01, 2000

Capobianco, E. (2000). Neural networks and statistical inference: seeking robust and efficient learning. Computational Statistics &amp; Data Analysis, 32(3–4), 443–454. https://doi.org/10.1016/s0167-9473(99)00089-4

Computational Statistics & Data Analysis / Jan 01, 2000

Capobianco, E. (2000). Neural networks and statistical inference: seeking robust and efficient learning. Computational Statistics &amp; Data Analysis, 32(3–4), 443–454. https://doi.org/10.1016/s0167-9473(99)00089-4

Oncotarget / Jun 25, 2015

Malusa, F., Taranta, M., Zaki, N., Cinti, C., & Capobianco, E. (2015). Time-course gene profiling and networks in demethylated retinoblastoma cell line. Oncotarget, 6(27), 23688–23707. https://doi.org/10.18632/oncotarget.4644

Journal of Computational Biology / Jan 01, 2011

Marras, E., Travaglione, A., & Capobianco, E. (2011). Manifold Learning in Protein Interactomes. Journal of Computational Biology, 18(1), 81–96. https://doi.org/10.1089/cmb.2009.0258

2008 IEEE International Workshop on Imaging Systems and Techniques / Sep 01, 2008

Popa, E., Graveron-Demilly, D., Capobianco, E., de Beer, R., & van Ormondt, D. (2008). Lineshape estimation in in vivo MR Spectroscopy without using a reference signal. 2008 IEEE International Workshop on Imaging Systems and Techniques. https://doi.org/10.1109/ist.2008.4659992

Advances in Complex Systems / Jun 01, 2003

CAPOBIANCO, E. (2003). FUNCTIONAL APPROXIMATION IN MULTISCALE COMPLEX SYSTEMS. Advances in Complex Systems, 06(02), 177–204. https://doi.org/10.1142/s0219525903000840

Frontiers in Artificial Intelligence / Jan 21, 2022

Deng, J., Hartung, T., Capobianco, E., Chen, J. Y., & Emmert-Streib, F. (2022). Editorial: Artificial Intelligence for Precision Medicine. Frontiers in Artificial Intelligence, 4. https://doi.org/10.3389/frai.2021.834645

BMC Medical Genomics / Jul 02, 2021

Bensalel, J., Xu, H., Lu, M. L., Capobianco, E., & Wei, J. (2021). RNA-seq analysis reveals significant transcriptome changes in huntingtin-null human neuroblastoma cells. BMC Medical Genomics, 14(1). https://doi.org/10.1186/s12920-021-01022-w

Statistical Methods in Medical Research / Apr 07, 2016

Salmasi, L., & Capobianco, E. (2016). Use of instrumental variables in electronic health record-driven models. Statistical Methods in Medical Research, 27(2), 608–621. https://doi.org/10.1177/0962280216641154

Frontiers in ICT / Aug 29, 2017

Capobianco, E. (2017). Precision Oncology: The Promise of Big Data and the Legacy of Small Data. Frontiers in ICT, 4. https://doi.org/10.3389/fict.2017.00022

Communications in Nonlinear Science and Numerical Simulation / Jun 01, 2009

Capobianco, E. (2009). Entropy embedding and fluctuation analysis in genomic manifolds. Communications in Nonlinear Science and Numerical Simulation, 14(6), 2602–2618. https://doi.org/10.1016/j.cnsns.2008.09.015

Neurocomputing / Oct 01, 2002

Capobianco, E. (2002). Independent component analysis and resolution pursuit with wavelet and cosine packets. Neurocomputing, 48(1–4), 779–806. https://doi.org/10.1016/s0925-2312(01)00673-7

Proceedings of 1995 IEEE Workshop on Neural Networks for Signal Processing

Capobianco, E. (n.d.). A unifying view of stochastic approximation, Kalman filter and backpropagation. Proceedings of 1995 IEEE Workshop on Neural Networks for Signal Processing. https://doi.org/10.1109/nnsp.1995.514882

Cancers / Aug 29, 2020

Capobianco, E., & Deng, J. (2020). Radiomics at a Glance: A Few Lessons Learned from Learning Approaches. Cancers, 12(9), 2453. https://doi.org/10.3390/cancers12092453

Frontiers in Medicine / Apr 03, 2020

Capobianco, E., Iacoviello, L., de Gaetano, G., & Donati, M. B. (2020). Editorial: Trends in Digital Medicine. Frontiers in Medicine, 7. https://doi.org/10.3389/fmed.2020.00116

Frontiers in Medicine / Mar 19, 2020

Capobianco, E. (2020). Imprecise Data and Their Impact on Translational Research in Medicine. Frontiers in Medicine, 7. https://doi.org/10.3389/fmed.2020.00082

Frontiers in Big Data / Sep 27, 2019

Preo, N., & Capobianco, E. (2019). Significant EHR Feature-Driven T2D Inference: Predictive Machine Learning and Networks. Frontiers in Big Data, 2. https://doi.org/10.3389/fdata.2019.00030

Cancer Informatics / Jan 01, 2017

Sharma, A., & Capobianco, E. (2017). Immuno-Oncology Integrative Networks: Elucidating the Influences of Osteosarcoma Phenotypes. Cancer Informatics, 16, 117693511772169. https://doi.org/10.1177/1176935117721691

Royal Society Open Science / Feb 01, 2015

Mora, A., Sicari, R., Cortigiani, L., Carpeggiani, C., Picano, E., & Capobianco, E. (2015). Prognostic models in coronary artery disease: Cox and network approaches. Royal Society Open Science, 2(2), 140270. https://doi.org/10.1098/rsos.140270

Frontiers in Genetics / Apr 19, 2017

Capobianco, E., & Lió, P. (2017). Advances in translational biomedicine from systems approaches. Frontiers in Genetics, 5. https://doi.org/10.3389/fgene.2014.00273

Computer Methods and Programs in Biomedicine / Jul 01, 2013

Orsini, M., Travaglione, A., & Capobianco, E. (2013). Warehousing re-annotated cancer genes for biomarker meta-analysis. Computer Methods and Programs in Biomedicine, 111(1), 166–180. https://doi.org/10.1016/j.cmpb.2013.03.010

Statistical Applications in Genetics and Molecular Biology / Jan 20, 2011

Capobianco, E., Marras, E., & Travaglione, A. (2011). Multiscale Characterization of Signaling Network Dynamics through Features. Statistical Applications in Genetics and Molecular Biology, 10(1). https://doi.org/10.2202/1544-6115.1657

Journal of Computational Science / May 01, 2011

Capobianco, E. (2011). On network entropy and bio-interactome applications. Journal of Computational Science, 2(2), 144–152. https://doi.org/10.1016/j.jocs.2010.12.008

Expert Review of Precision Medicine and Drug Development / May 13, 2021

Capobianco, E., & Meroni, P. L. (2021). Value of digital biomarkers in precision medicine: implications in cancer, autoimmune diseases, and COVID-19. Expert Review of Precision Medicine and Drug Development, 6(4), 235–238. https://doi.org/10.1080/23808993.2021.1924055

Frontiers in Applied Mathematics and Statistics / Jul 09, 2020

Capobianco, E. (2020). Inference From Complex Networks: Role of Symmetry and Applicability to Images. Frontiers in Applied Mathematics and Statistics, 6. https://doi.org/10.3389/fams.2020.00023

Scientific Reports / Dec 11, 2017

Capobianco, E., Valdes, C., Sarti, S., Jiang, Z., Poliseno, L., & Tsinoremas, N. F. (2017). Ensemble Modeling Approach Targeting Heterogeneous RNA-Seq data: Application to Melanoma Pseudogenes. Scientific Reports, 7(1). https://doi.org/10.1038/s41598-017-17337-7

Frontiers in Physiology / Sep 29, 2017

Trivella, M. G., Capobianco, E., & L’Abbate, A. (2017). Editorial: Physiology in Extreme Conditions: Adaptations and Unexpected Reactions. Frontiers in Physiology, 8. https://doi.org/10.3389/fphys.2017.00748

Frontiers in Immunology / Jul 04, 2016

Kleiman, E., Salyakina, D., De Heusch, M., Hoek, K. L., Llanes, J. M., Castro, I., Wright, J. A., Clark, E. S., Dykxhoorn, D. M., Capobianco, E., Takeda, A., McCormack, R. M., Podack, E. R., Renauld, J.-C., & Khan, W. N. (2016). Corrigendum: Distinct Transcriptomic Features Are Associated with Transitional and Mature B-Cell Populations in the Mouse Spleen. Frontiers in Immunology, 7. https://doi.org/10.3389/fimmu.2016.00267

Molecular BioSystems / Jan 01, 2010

Rocchiccioli, S., Congiu, E., Boccardi, C., Citti, L., Callipo, L., Laganà, A., & Capobianco, E. (2010). A proteomic study of microgravity cardiac effects: feature maps of label-free LC-MALDI data for differential expression analysis. Molecular BioSystems, 6(11), 2218. https://doi.org/10.1039/c0mb00065e

Journal of Bioinformatics and Computational Biology / Aug 01, 2009

CAPOBIANCO, E. (2009). ALIASING IN GENE FEATURE DETECTION BY PROJECTIVE METHODS. Journal of Bioinformatics and Computational Biology, 07(04), 685–700. https://doi.org/10.1142/s0219720009004254

Journal of Statistical Mechanics: Theory and Experiment / Jan 05, 2009

Marras, E., & Capobianco, E. (2009). Mining protein–protein interaction networks: denoising effects. Journal of Statistical Mechanics: Theory and Experiment, 2009(01), P01006. https://doi.org/10.1088/1742-5468/2009/01/p01006

Journal of Integrative Bioinformatics / Dec 01, 2006

Capobianco, E. (2006). Statistical Embedding in Complex Biosystems. Journal of Integrative Bioinformatics, 3(2), 90–108. https://doi.org/10.1515/jib-2006-30

Neurocomputing / Jan 01, 2004

Capobianco, E. (2004). On support vector machines and sparse approximation for random processes. Neurocomputing, 56, 39–60. https://doi.org/10.1016/s0925-2312(03)00370-9

Mathematics of Neural Networks / Jan 01, 1997

Capobianco, E. (1997). Semiparametric Artificial Neural Networks. Operations Research/Computer Science Interfaces Series, 140–145. https://doi.org/10.1007/978-1-4615-6099-9_21

Stochastic Processes and their Applications / May 01, 1997

Masry, E. (1997). Multivariate probability density estimation by wavelet methods: Strong consistency and rates for stationary time series. Stochastic Processes and Their Applications, 67(2), 177–193. https://doi.org/10.1016/s0304-4149(96)00005-1

Annals of Translational Medicine / Dec 01, 2022

Capobianco, E. (2022). Overview of triple negative breast cancer prognostic signatures in the context of data science-driven clinico-genomics research. Annals of Translational Medicine, 10(24), 1300–1300. https://doi.org/10.21037/atm-22-5477

Journal of Neurochemistry / Nov 27, 2022

Xu, H., Bensalel, J., Raju, S., Capobianco, E., Lu, M. L., & Wei, J. (2022). Characterization of huntingtin interactomes and their dynamic responses in living cells by proximity proteomics. Journal of Neurochemistry, 164(4), 512–528. Portico. https://doi.org/10.1111/jnc.15726

Translational Lung Cancer Research / Sep 01, 2022

Ma, W., Wang, C., Li, R., Han, Z., Jiang, Y., Zhang, X., Divisi, D., Capobianco, E., Zhang, L., & Dong, W. (2022). PTS is activated by ATF4 and promotes lung adenocarcinoma development via the Wnt pathway. Translational Lung Cancer Research, 11(9), 1912–1925. https://doi.org/10.21037/tlcr-22-593

Cellular and Molecular Neurobiology / Aug 04, 2021

Xu, H., Bensalel, J., Capobianco, E., Lu, M. L., & Wei, J. (2021). Impaired Restoration of Global Protein Synthesis Contributes to Increased Vulnerability to Acute ER Stress Recovery in Huntington’s Disease. Cellular and Molecular Neurobiology, 42(8), 2757–2771. https://doi.org/10.1007/s10571-021-01137-9

PLOS ONE / Nov 28, 2018

Jiang, Z., Cinti, C., Taranta, M., Mattioli, E., Schena, E., Singh, S., Khurana, R., Lattanzi, G., Tsinoremas, N. F., & Capobianco, E. (2018). Network assessment of demethylation treatment in melanoma: Differential transcriptome-methylome and antigen profile signatures. PLOS ONE, 13(11), e0206686. https://doi.org/10.1371/journal.pone.0206686

Systems Biomedicine / Jul 01, 2013

Capobianco, E. (2013). Protein networks tomography. Systems Biomedicine, 1(3), 161–178. https://doi.org/10.4161/sysb.25607

Contributions to Statistics / Jan 01, 2008

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