| 493 Estimation of Stage Occupation Probabilities in Multistage Models S Datta, GA Satten, S Datta Advances on Theoretical and Methodological A spects of Probability and …, 0 | | |
| A combined PLS and negative binomial regression model for inferring association networks from next-generation sequencing count data M Pesonen, J Nevalainen, S Potter, S Datta, S Datta IEEE/ACM transactions on computational biology and bioinformatics 15 (3 …, 2017 | 7 | 2017 |
| A comparative study of surface characterization and corrosion performance properties of laser surface modified biomedical grade nitinol R Chakraborty, S Datta, MS Raza, P Saha Applied Surface Science 469, 753-763, 2019 | 17 | 2019 |
| A critical study of bead-on-plate laser welding of niobium alloy PWC-11 SK Gupta, S Datta, S Jaypuria, DK Pratihar, P Saha Advances in Materials and Manufacturing Engineering: Proceedings of ICAMME …, 2020 | 3 | 2020 |
| A hypolipoprotein sepsis phenotype indicates reduced lipoprotein antioxidant capacity, increased endothelial dysfunction and organ failure, and worse clinical outcomes FW Guirgis, LP Black, M Henson, G Labilloy, C Smotherman, C Hopson, ... Critical Care 25, 1-13, 2021 | 25 | 2021 |
| A multi-loss super regression learner (MSRL) with application to survival prediction using proteomics J Shah, S Datta, S Datta Computational Statistics 29, 1749-1767, 2014 | 7 | 2014 |
| A Novel Empirical Bayes Adjustment to Increase the Sensitivity of Detecting Differentially Expressed Genes in Microarray Experiments S Datta, GA Satten, DJ Benos, J Xia, M Heslin, S Datta | | |
| A Novel Empirical Bayes Adjustment to Increase the True Discovery Rate of Detecting Differentially Expressed Genes in Microarray Experiments S Datta, GA Satten, DJ Benos, J Xia, M Heslin, S Datta | | |
| A novel statistical approach for identification of the master regulator transcription factor S Sikdar, S Datta BMC bioinformatics 18, 1-11, 2017 | 29 | 2017 |
| A random graph generation model for transcription networks and nonparametric simulator for RNA-seq expression data T Grimes, S Datta Minsk: BSU, 2019 | | 2019 |
| A Review on Present Status of Friction Stir Welding of NiTinol, a Functionally Advanced, Versatile and Widely Used Shape Memory Alloy S Datta, P Biswas Shape Memory Alloys-New Advances, 2023 | | 2023 |
| A sparse Bayesian factor model for the construction of gene co-expression networks from single-cell RNA sequencing count data M Sekula, J Gaskins, S Datta BMC bioinformatics 21, 1-19, 2020 | 15 | 2020 |
| A statistical framework for differential network analysis from microarray data R Gill, S Datta, S Datta BMC bioinformatics 11, 1-10, 2010 | 178 | 2010 |
| A statistical technique for monoisotopic peak detection in a mass spectrum M Atlas, S Datta J Proteomics Bioinform 2 (5), 202-216, 2009 | 11 | 2009 |
| A statistical test of a neutral model using the dynamics of cytonuclear disequilibria S Datta, M Kiparsky, DM Rand, J Arnold Genetics 144 (4), 1985-1992, 1996 | 12 | 1996 |
| A threonine to isoleucine missense mutation in the pericentriolar material 1 gene is strongly associated with schizophrenia SR Datta, A McQuillin, M Rizig, E Blaveri, S Thirumalai, G Kalsi, ... Molecular psychiatry 15 (6), 615-628, 2010 | 70 | 2010 |
| Abstract IA011: mTOR pathway gene expression in association with race and clinicopathological characteristics in Black and White breast cancer patients MN Ilozumba, S Yao, AAM Llanos, AR Omilian, W Zhang, S Datta, ... Cancer Epidemiology, Biomarkers & Prevention 32 (1_Supplement), IA011-IA011, 2023 | | 2023 |
| Abstract reasoning and Spatial Visualization in Formal S Datta, DD Roy International Journal of Scientific and Research Publications 5 (10), 1-6, 2015 | 15 | 2015 |
| Adaptive sparse multi-block PLS discriminant analysis: an integrative method for identifying key biomarkers from multi-omics data R Zhang, S Datta Genes 14 (5), 961, 2023 | 3 | 2023 |
| Advances on Methodological and Applied Aspects of Probability and Statistics N Balakrishnan CRC, 2003 | 2 | 2003 |
