Work with academic experts in computational theory and mathematics
A scholar or researcher with expertise in computational theory and mathematics can help business and industrial clients solve their computational theory and mathematics problems and conduct computational theory and mathematics research to get ahead on R&D. Experts on NotedSource with backgrounds in computational theory and mathematics include Jeffrey Townsend, Suhang Wang, Edoardo Airoldi, Panos Ipeirotis, Osaye Fadekemi, PhD, Upavan Gupta, Ph.D., Anindya Ghose, Dr. Susanne Ressl, John Joe, and Anna Koster.
Jeffrey Townsend
Professor of Biostatistics and Ecology & Evolutionary Biology
Most Relevant Research Interests
Other Research Interests (78)
About
Most Relevant Publications (6+)
207 total publications
Mechanistic basis of post-treatment control of SIV after anti-α4β7 antibody therapy
PLOS Computational Biology / Jun 09, 2021
Wells, C. R., Cao, Y., Durham, D. P., Byrareddy, S. N., Ansari, A. A., Ruddle, N. H., Townsend, J. P., Galvani, A. P., & Perelson, A. S. (2021). Mechanistic basis of post-treatment control of SIV after anti-α4β7 antibody therapy. PLOS Computational Biology, 17(6), e1009031. https://doi.org/10.1371/journal.pcbi.1009031
Identifying modules of cooperating cancer drivers
Molecular Systems Biology / Mar 01, 2021
Klein, M. I., Cannataro, V. L., Townsend, J. P., Newman, S., Stern, D. F., & Zhao, H. (2021). Identifying modules of cooperating cancer drivers. Molecular Systems Biology, 17(3). Portico. https://doi.org/10.15252/msb.20209810
PathScore: a web tool for identifying altered pathways in cancer data
Bioinformatics / Aug 08, 2016
Gaffney, S. G., & Townsend, J. P. (2016). PathScore: a web tool for identifying altered pathways in cancer data. Bioinformatics, 32(23), 3688–3690. https://doi.org/10.1093/bioinformatics/btw512
AuthorReward: increasing community curation in biological knowledge wikis through automated authorship quantification
Bioinformatics / Jun 03, 2013
Dai, L., Tian, M., Wu, J., Xiao, J., Wang, X., Townsend, J. P., & Zhang, Z. (2013). AuthorReward: increasing community curation in biological knowledge wikis through automated authorship quantification. Bioinformatics, 29(14), 1837–1839. https://doi.org/10.1093/bioinformatics/btt284
LOX: inferring Level Of eXpression from diverse methods of census sequencing
Bioinformatics / Jun 10, 2010
Zhang, Z., López-Giráldez, F., & Townsend, J. P. (2010). LOX: inferring Level Of eXpression from diverse methods of census sequencing. Bioinformatics, 26(15), 1918–1919. https://doi.org/10.1093/bioinformatics/btq303
Maximum-Likelihood Model Averaging To Profile Clustering of Site Types across Discrete Linear Sequences
PLoS Computational Biology / Jun 26, 2009
Zhang, Z., & Townsend, J. P. (2009). Maximum-Likelihood Model Averaging To Profile Clustering of Site Types across Discrete Linear Sequences. PLoS Computational Biology, 5(6), e1000421. https://doi.org/10.1371/journal.pcbi.1000421
Suhang Wang
Professor at Pennsylvania State University
Most Relevant Research Interests
Other Research Interests (27)
About
Most Relevant Publications (2+)
96 total publications
Exploring Hierarchical Structures for Recommender Systems
IEEE Transactions on Knowledge and Data Engineering / Jun 01, 2018
Wang, S., Tang, J., Wang, Y., & Liu, H. (2018). Exploring Hierarchical Structures for Recommender Systems. IEEE Transactions on Knowledge and Data Engineering, 30(6), 1022–1035. https://doi.org/10.1109/tkde.2018.2789443
Facilitating Time Critical Information Seeking in Social Media
IEEE Transactions on Knowledge and Data Engineering / Oct 01, 2017
Ranganath, S., Wang, S., Hu, X., Tang, J., & Liu, H. (2017). Facilitating Time Critical Information Seeking in Social Media. IEEE Transactions on Knowledge and Data Engineering, 29(10), 2197–2209. https://doi.org/10.1109/tkde.2017.2701375
Edoardo Airoldi
Professor of Statistics & Data Science Temple University & PI, Harvard University
Most Relevant Research Interests
Other Research Interests (62)
About
Most Relevant Publications (6+)
106 total publications
Quantitative visualization of alternative exon expression from RNA-seq data
Bioinformatics / Jan 22, 2015
Katz, Y., Wang, E. T., Silterra, J., Schwartz, S., Wong, B., Thorvaldsdóttir, H., Robinson, J. T., Mesirov, J. P., Airoldi, E. M., & Burge, C. B. (2015). Quantitative visualization of alternative exon expression from RNA-seq data. Bioinformatics, 31(14), 2400–2402. https://doi.org/10.1093/bioinformatics/btv034
Post-transcriptional regulation across human tissues
PLOS Computational Biology / May 08, 2017
Franks, A., Airoldi, E., & Slavov, N. (2017). Post-transcriptional regulation across human tissues. PLOS Computational Biology, 13(5), e1005535. https://doi.org/10.1371/journal.pcbi.1005535
Mapping Dynamic Histone Acetylation Patterns to Gene Expression in Nanog-Depleted Murine Embryonic Stem Cells
PLoS Computational Biology / Dec 16, 2010
Markowetz, F., Mulder, K. W., Airoldi, E. M., Lemischka, I. R., & Troyanskaya, O. G. (2010). Mapping Dynamic Histone Acetylation Patterns to Gene Expression in Nanog-Depleted Murine Embryonic Stem Cells. PLoS Computational Biology, 6(12), e1001034. https://doi.org/10.1371/journal.pcbi.1001034
Scalable estimation strategies based on stochastic approximations: classical results and new insights
Statistics and Computing / Jun 11, 2015
Toulis, P., & Airoldi, E. M. (2015). Scalable estimation strategies based on stochastic approximations: classical results and new insights. Statistics and Computing, 25(4), 781–795. https://doi.org/10.1007/s11222-015-9560-y
Predicting Cellular Growth from Gene Expression Signatures
PLoS Computational Biology / Jan 02, 2009
Airoldi, E. M., Huttenhower, C., Gresham, D., Lu, C., Caudy, A. A., Dunham, M. J., Broach, J. R., Botstein, D., & Troyanskaya, O. G. (2009). Predicting Cellular Growth from Gene Expression Signatures. PLoS Computational Biology, 5(1), e1000257. https://doi.org/10.1371/journal.pcbi.1000257
Getting Started in Probabilistic Graphical Models
PLoS Computational Biology / Dec 07, 2007
Airoldi, E. M. (2007). Getting Started in Probabilistic Graphical Models. PLoS Computational Biology, 3(12), e252. https://doi.org/10.1371/journal.pcbi.0030252
Panos Ipeirotis
Professor at New York University
Most Relevant Research Interests
Other Research Interests (21)
About
Most Relevant Publications (2+)
155 total publications
Duplicate Record Detection: A Survey
IEEE Transactions on Knowledge and Data Engineering / Jan 01, 2007
Elmagarmid, A. K., Ipeirotis, P. G., & Verykios, V. S. (2007). Duplicate Record Detection: A Survey. IEEE Transactions on Knowledge and Data Engineering, 19(1), 1–16. https://doi.org/10.1109/tkde.2007.250581
Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics
IEEE Transactions on Knowledge and Data Engineering / Oct 01, 2011
Ghose, A., & Ipeirotis, P. G. (2011). Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics. IEEE Transactions on Knowledge and Data Engineering, 23(10), 1498–1512. https://doi.org/10.1109/tkde.2010.188
Osaye Fadekemi, PhD
Assistant Professor of Mathematics at Alabama State University with expertise in Graph Theory and Network Modeling
Most Relevant Research Interests
Other Research Interests (20)
About
Most Relevant Publications (2+)
7 total publications
Average eccentricity, minimum degree and maximum degree in graphs
Journal of Combinatorial Optimization / Jun 26, 2020
Dankelmann, P., & Osaye, F. J. (2020). Average eccentricity, minimum degree and maximum degree in graphs. Journal of Combinatorial Optimization, 40(3), 697–712. https://doi.org/10.1007/s10878-020-00616-x
Average eccentricity, minimum degree and maximum degree in graphs
Journal of Combinatorial Optimization / Jun 26, 2020
Dankelmann, P., & Osaye, F. J. (2020). Average eccentricity, minimum degree and maximum degree in graphs. Journal of Combinatorial Optimization, 40(3), 697–712. https://doi.org/10.1007/s10878-020-00616-x
Upavan Gupta, Ph.D.
Analytics Consulting, Data Science, Risk and Prospecting Models, Credit, Mortgage, Property, and Rental Data Expert
Most Relevant Research Interests
Other Research Interests (15)
Most Relevant Publications (2+)
12 total publications
Multievent Crisis Management Using Noncooperative Multistep Games
IEEE Transactions on Computers / May 01, 2007
Gupta, U., & Ranganathan, N. (2007). Multievent Crisis Management Using Noncooperative Multistep Games. IEEE Transactions on Computers, 56(5), 577–589. https://doi.org/10.1109/tc.2007.1023
A Game Theoretic Approach for Simultaneous Compaction and Equipartitioning of Spatial Data Sets
IEEE Transactions on Knowledge and Data Engineering / Apr 01, 2010
Gupta, U., & Ranganathan, N. (2010). A Game Theoretic Approach for Simultaneous Compaction and Equipartitioning of Spatial Data Sets. IEEE Transactions on Knowledge and Data Engineering, 22(4), 465–478. https://doi.org/10.1109/tkde.2009.110
Anindya Ghose
Heinz Riehl Chair Professor of Business, NYU Stern
Most Relevant Research Interests
Other Research Interests (29)
About
Most Relevant Publications (1+)
86 total publications
Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics
IEEE Transactions on Knowledge and Data Engineering / Oct 01, 2011
Ghose, A., & Ipeirotis, P. G. (2011). Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics. IEEE Transactions on Knowledge and Data Engineering, 23(10), 1498–1512. https://doi.org/10.1109/tkde.2010.188
Dr. Susanne Ressl
Biochemist & Structural Biologist | Project & Team Leader | Creative & Translational Thinker | Problem Solver | Mentor | Educator | Consultant | Innovator | Science Communicator & Writer | Relationship Builder | Collaborator
Most Relevant Research Interests
Other Research Interests (43)
Most Relevant Publications (1+)
20 total publications
Light Harvest: an interactive sculptural installation based on folding and mapping proteins
Digital Creativity / Oct 02, 2018
Wu, J., Ressl, S., & Overton, K. (2018). Light Harvest: an interactive sculptural installation based on folding and mapping proteins. Digital Creativity, 29(4), 274–286. https://doi.org/10.1080/14626268.2018.1533871
John Joe
Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
Most Relevant Research Interests
Other Research Interests (73)
Most Relevant Publications (1+)
95 total publications
Differential Producibility Analysis (DPA) of Transcriptomic Data with Metabolic Networks: Deconstructing the Metabolic Response of M. tuberculosis
PLoS Computational Biology / Jun 30, 2011
Bonde, B. K., Beste, D. J. V., Laing, E., Kierzek, A. M., & McFadden, J. (2011). Differential Producibility Analysis (DPA) of Transcriptomic Data with Metabolic Networks: Deconstructing the Metabolic Response of M. tuberculosis. PLoS Computational Biology, 7(6), e1002060. https://doi.org/10.1371/journal.pcbi.1002060
Anna Koster
Most Relevant Research Interests
Other Research Interests (11)
Most Relevant Publications (1+)
4 total publications
Dynamical model of the CLC-2 ion channel reveals conformational changes associated with selectivity-filter gating
PLOS Computational Biology / Mar 30, 2020
McKiernan, K. A., Koster, A. K., Maduke, M., & Pande, V. S. (2020). Dynamical model of the CLC-2 ion channel reveals conformational changes associated with selectivity-filter gating. PLOS Computational Biology, 16(3), e1007530. https://doi.org/10.1371/journal.pcbi.1007530