| Detection and accurate false discovery rate control of differentially methylated regions from whole genome bisulfite sequencing K Korthauer, S Chakraborty, Y Benjamini, RA Irizarry Biostatistics 20 (3), 367-383, 2019 | 131 | 2019 |
| Effects of biaxial oscillatory shear stress on endothelial cell proliferation and morphology A Chakraborty, S Chakraborty, VR Jala, B Haribabu, MK Sharp, ... Biotechnology and bioengineering 109 (3), 695-707, 2012 | 76 | 2012 |
| Surrogate variable analysis using partial least squares (SVA-PLS) in gene expression studies S Chakraborty, S Datta, S Datta Bioinformatics 28 (6), 799-806, 2012 | 72 | 2012 |
| Statistical analyses of next generation sequence data: a partial overview S Datta, S Datta, S Kim, S Chakraborty, RS Gill Journal of proteomics & bioinformatics 3 (6), 183, 2010 | 50 | 2010 |
| Impact of bi-axial shear on atherogenic gene expression by endothelial cells A Chakraborty, S Chakraborty, VR Jala, JM Thomas, MK Sharp, ... Annals of biomedical engineering 44, 3032-3045, 2016 | 17 | 2016 |
| Use of partial least squares improves the efficacy of removing unwanted variability in differential expression analyses based on RNA-Seq data S Chakraborty Genomics 111 (4), 893-898, 2019 | 5 | 2019 |
| svapls: an R package to correct for hidden factors of variability in gene expression studies S Chakraborty, S Datta, S Datta BMC bioinformatics 14, 1-7, 2013 | 3 | 2013 |
| Nonparametric regression of state occupation probabilities in a multistate Model S Chakraborty, S Datta, S Datta Handbook of statistics 36, 175-203, 2017 | 1 | 2017 |
| SVAPLSseq: A Method to correct for hidden sources of variability in differential gene expression studies based on RNAseq data S Chakraborty bioRxiv, 062125, 2016 | | 2016 |
| Robust Estimation in AFT Models and a Covariate Adjusted Mann–Whitney Statistic for Comparing Two Sojourn Times S Chakraborty, S Datta Nonparametric Statistics: 2nd ISNPS, Cádiz, June 2014, 117-134, 2016 | | 2016 |
| Novel methods based on regression techniques to analyze multistate models and high-dimensional omics data S Chakraborty University of Louisville, 2013 | | 2013 |
| Bidirectional Oscillatory Shear Stress Increases Pro-Atherogenic Gene Expressions (I-CAM1, E-Selectin and IL-6) in Endothelial Cells A Chakraborty, VR Jala, S Chakraborty, RE Berson, MK Sharp, ... Summer Bioengineering Conference 54587, 731-732, 2011 | | 2011 |
| De novo detection and accurate False Discovery Rate control of differentially methylated regions from Whole Genome Bisulfite Sequencing: Supplementary Materials KD Korthauer, S Chakraborty, Y Benjamini, RA Irizarry | | |
| SVAPLSseq: An R package to cor-rect for hidden sources of variability in differential gene expression stud-ies based on RNAseq data S Chakraborty | | |
SOMNATH DATTAProfessor of Biostatistics, University of FloridaVerified email at ufl.edu
