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ORCIDSaumyadipta Pyne
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2020 – today
- 2022
[j17]Sumanta Ray, Meghana Desai
, Saumyadipta Pyne:
Systematic mining of patterns of polysubstance use in a nationwide population survey. Comput. Biol. Medicine 151(Part): 106175 (2022)- [j16]Daniel Ahfock, Saumyadipta Pyne, Geoffrey J. McLachlan:
Statistical file-matching of non-Gaussian data: A game theoretic approach. Comput. Stat. Data Anal. 168: 107387 (2022) - 2021
- [j15]Xuze Zhang, Saumyadipta Pyne, Benjamin Kedem:
Multivariate Tail Probabilities: Predicting Regional Pertussis Cases in Washington State. Entropy 23(6): 675 (2021) - [j14]Daniel Ahfock, Saumyadipta Pyne, Geoffrey J. McLachlan:
Data fusion using factor analysis and low-rank matrix completion. Stat. Comput. 31(5): 58 (2021) - 2020
- [i1]Geoffrey C. Fox, Gregor von Laszewski, Fugang Wang, Saumyadipta Pyne:
AICov: An Integrative Deep Learning Framework for COVID-19 Forecasting with Population Covariates. CoRR abs/2010.03757 (2020)
2010 – 2019
- 2019
- [j13]Shabnam Vatanpour, Saumyadipta Pyne, Ana Paula Leite, Irina Dinu:
Gene set analysis and reduction for a continuous phenotype: Identifying markers of birth weight variation based on embryonic stem cells and immunologic signatures. Comput. Biol. Medicine 113 (2019) - 2018
- [j12]Elham Khodayari Moez, Saumyadipta Pyne, Irina Dinu:
Association between bivariate expression of key oncogenes and metabolic phenotypes of patients with prostate cancer. Comput. Biol. Medicine 103: 55-63 (2018) - 2016
- [j11]Daniel Ahfock, Saumyadipta Pyne, Sharon X. Lee, Geoffrey J. McLachlan:
Partial identification in the statistical matching problem. Comput. Stat. Data Anal. 104: 79-90 (2016) - [c7]Madhu Govindaraju, Saumyadipta Pyne:
HiPC 2016 Workshop 1: International Workshop on Foundations of Big Data Computing (BigDF). HiPC Workshops 2016: 1-2 - [e2]Tilmann Rabl, Raghunath Nambiar, Chaitanya K. Baru, Milind A. Bhandarkar, Meikel Poess, Saumyadipta Pyne:
Big Data Benchmarking - 6th International Workshop, WBDB 2015, Toronto, ON, Canada, June 16-17, 2015 and 7th International Workshop, WBDB 2015, New Delhi, India, December 14-15, 2015, Revised Selected Papers. Lecture Notes in Computer Science 10044, Springer 2016, ISBN 978-3-319-49747-1 [contents] - 2014
- [j10]Xiaoming Wang, Saumyadipta Pyne, Irina Dinu:
Gene set enrichment analysis for multiple continuous phenotypes. BMC Bioinform. 15: 260 (2014) - [e1]Jimmy Lin, Jian Pei, Xiaohua Hu, Wo Chang, Raghunath Nambiar, Charu C. Aggarwal, Nick Cercone, Vasant G. Honavar, Jun Huan, Bamshad Mobasher, Saumyadipta Pyne:
2014 IEEE International Conference on Big Data (IEEE BigData 2014), Washington, DC, USA, October 27-30, 2014. IEEE Computer Society 2014, ISBN 978-1-4799-5665-4 [contents] - 2013
- [j9]Mehmet Kocak, E. Olusegun George, Saumyadipta Pyne, Stanley Pounds:
An empirical Bayes approach for analysis of diverse periodic trends in time-course gene expression data. Bioinform. 29(2): 182-188 (2013) - [j8]Irina Dinu, Xiaoming Wang, Linda E. Kelemen, Shabnam Vatanpour, Saumyadipta Pyne:
Linear combination test for gene set analysis of a continuous phenotype. BMC Bioinform. 14: 212 (2013) - [c6]Ariful Azad, Arif M. Khan, Bartek Rajwa, Saumyadipta Pyne, Alex Pothen:
Classifying Immunophenotypes With Templates From Flow Cytometry. BCB 2013: 256 - [c5]Geoffrey C. Fox, Deepak R. Mani, Saumyadipta Pyne:
Parallel deterministic annealing clustering and its application to LC-MS data analysis. IEEE BigData 2013: 665-673 - 2012
- [j7]Ariful Azad, Saumyadipta Pyne, Alex Pothen:
Matching phosphorylation response patterns of antigen-receptor-stimulated T cells via flow cytometry. BMC Bioinform. 13(S-2): S10 (2012) - [j6]Hsiu J. Ho, Tsung-I Lin, Hannah H. Chang, Steven B. Haase, Sui Huang, Saumyadipta Pyne:
Parametric modeling of cellular state transitions as measured with flow cytometry. BMC Bioinform. 13(S-5): S5 (2012) - [j5]Hsiu J. Ho, Saumyadipta Pyne, Tsung-I Lin:
Maximum likelihood inference for mixtures of skew Student-t-normal distributions through practical EM-type algorithms. Stat. Comput. 22(1): 287-299 (2012) - [c4]Raluca Gordân, Saumyadipta Pyne, Martha L. Bulyk:
Identification of Cell Cycle-Regulated, Putative Hyphal Genes in Candida Albicans. Pacific Symposium on Biocomputing 2012: 299-310 - 2011
- [j4]Elizabeth Rossin, Tsung-I Lin, Hsiu J. Ho, Steven J. Mentzer, Saumyadipta Pyne:
A framework for analytical characterization of monoclonal antibodies based on reactivity profiles in different tissues. Bioinform. 27(19): 2746-2753 (2011) - [j3]Rudolf Frühwirth, Deepak R. Mani, Saumyadipta Pyne:
Clustering with position-specific constraints on variance: Applying redescending M-estimators to label-free LC-MS data analysis. BMC Bioinform. 12: 358 (2011) - [c3]Saumyadipta Pyne, Steven B. Haase, Hsiu J. Ho, Tsung-I Lin:
Parametric modeling of cellular state transitions as measured with flow cytometry. ICCABS 2011: 147-152 - 2010
- [c2]Saumyadipta Pyne, Xinli Hu, Kui Wang, Elizabeth Rossin, Tsung-I Lin, Lisa Maier, Clare Baecher-Allan, Geoffrey J. McLachlan, Pablo Tamayo, David Hafler, Philip L. De Jager, Jill P. Mesirov:
Automated High-Dimensional Flow Cytometric Data Analysis. RECOMB 2010: 577
2000 – 2009
- 2009
- [j2]Pierre R. Bushel, Nicholas A. Heard, Roee Gutman, Liwen Liu, Shyamal D. Peddada, Saumyadipta Pyne:
Dissecting the fission yeast regulatory network reveals phase-specific control elements of its cell cycle. BMC Syst. Biol. 3: 93 (2009) - 2007
- [c1]Elizabeth Rossin, Saumyadipta Pyne, Florian Hahne, Philip L. De Jager:
Identification of Differential Flow Cytometry Expression. BIBE 2007: 1389-1393 - 2006
- [j1]Saumyadipta Pyne, Bruce Futcher, Steven Skiena:
Meta-analysis based on control of false discovery rate: combining yeast ChIP-chip datasets. Bioinform. 22(20): 2516-2522 (2006)
Coauthor Index
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