A community effort to assess and improve drug sensitivity prediction algorithms JC Costello, LM Heiser, E Georgii, M Gönen, MP Menden, NJ Wang, ... Nature biotechnology 32 (12), 1202-1212, 2014 | 767 | 2014 |
Critical assessment of automated flow cytometry data analysis techniques N Aghaeepour, G Finak, FlowCAP Consortium, Dream Consortium, ... Nature methods 10 (3), 228-238, 2013 | 653 | 2013 |
Conserved gene expression programs integrate mammalian prostate development and tumorigenesis C Pritchard, B Mecham, R Dumpit, I Coleman, M Bhattacharjee, Q Chen, ... Cancer research 69 (5), 1739-1747, 2009 | 83 | 2009 |
Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth AL Tarca, BA Pataki, R Romero, M Sirota, Y Guan, R Kutum, ... Cell Reports Medicine 2 (6), https://doi.org/10.1016/j.xcrm.2021.1003, 2021 | 58 | 2021 |
Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth bioRxiv 2020.06.05.130971, 2020 | 58* | 2020 |
Bayesian association-based fine mapping in small chromosomal segments MJ Sillanpää, M Bhattacharjee Genetics 169 (1), 427-439, 2005 | 43 | 2005 |
Bayesian integrated functional analysis of microarray data M Bhattacharjee, CC Pritchard, PS Nelson, E Arjas Bioinformatics 20 (17), 2943-2953, 2004 | 32 | 2004 |
Unconditional tests of goodness of fit for the intensity of time-truncated nonhomogeneous Poisson processes M Bhattacharjee, JV Deshpande, UV Naik-Nimbalkar Technometrics 46 (3), 330-338, 2004 | 24 | 2004 |
Bayesian biomarker identification based on marker-expression proteomics data M Bhattacharjee, CH Botting, MJ Sillanpää Genomics 92 (6), 384-392, 2008 | 21 | 2008 |
Inferring gene expression from ribosomal promoter sequences, a crowdsourcing approach P Meyer, G Siwo, D Zeevi, E Sharon, R Norel, E Segal, G Stolovitzky, ... Genome research 23 (11), 1928-1937, 2013 | 18 | 2013 |
Association mapping of complex trait loci with context-dependent effects and unknown context variable MJ Sillanpää, M Bhattacharjee Genetics 174 (3), 1597-1611, 2006 | 18 | 2006 |
Identification and functional analysis of essential, conserved, housekeeping and duplicated genes PVPS Arun, SK Miryala, S Chattopadhyay, K Thiyyagura, P Bawa, ... FEBS letters 590 (10), 1428-1437, 2016 | 16 | 2016 |
Modelling heterogeneity in nuclear power plant valve failure data M Bhattacharjee, E Arjas, U Pulkkinen Mathematical and statistical methods in reliability, 341-353, 2003 | 12 | 2003 |
A bayesian mixed regression based prediction of quantitative traits from molecular marker and gene expression data M Bhattacharjee, MJ Sillanpää PLoS One 6 (11), e26959, 2011 | 9 | 2011 |
Testing of two sample proportional intensity assumption for non-homogeneous Poisson processes JV Deshpande, M Mukhopadhyay, UV Naik-Nimbalkar Journal of statistical planning and inference 81 (2), 237-251, 1999 | 8 | 1999 |
Bayesian joint disease-marker-expression analysis applied to clinical characteristics of chronic fatique syndrome M Bhattacharjee, M Sillanpää Methods of Microarray Data Analysis VI, 15-34, 2009 | 6 | 2009 |
Modelling heterogeneity in repeated failure time data: a hierarchical Bayesian approach E Arjas, M Bhattacharjee Mathematical Reliability: An Expository Perspective, 71-86, 2004 | 6 | 2004 |
Estimation of Bergsma’s covariance A Bose, D Kappara, M Bhattacharjee Journal of the Korean Statistical Society 52, 1025-1054, 2023 | 2 | 2023 |
Modelling COVID-19 -- I A dynamic SIR(D) with application to Indian data M Bhattacharjee, A Bose arXiv:2009.05044, 2020 | 2 | 2020 |
A Bayesian framework for data and hypotheses driven fusion of high throughput data: application to mouse organogenesis M Bhattacharjee, C Pritchard, P Nelson Biocomputing 2008, 178-189, 2008 | 2 | 2008 |