| Modeling stochasticity and variability in gene regulatory networks D Murrugarra, A Veliz-Cuba, B Aguilar, S Arat, R Laubenbacher EURASIP Journal on Bioinformatics and Systems Biology 2012, 1-11, 2012 | 91 | 2012 |
| Meta-analysis of human gene expression in response to Mycobacterium tuberculosis infection reveals potential therapeutic targets Z Wang, S Arat, M Magid-Slav, JR Brown BMC systems biology 12, 1-18, 2018 | 73 | 2018 |
| Machine learning guided association of adverse drug reactions with in vitro target-based pharmacology R Ietswaart, S Arat, AX Chen, S Farahmand, B Kim, W DuMouchel, ... EBioMedicine 57, 2020 | 69 | 2020 |
| A Network Biology Approach to Denitrification in Pseudomonas aeruginosa S Arat, GS Bullerjahn, R Laubenbacher PLoS One 10 (2), e0118235, 2015 | 67 | 2015 |
| Evaluating the sensitivity and specificity of promising circulating biomarkers to diagnose liver injury in humans HP Llewellyn, VS Vaidya, Z Wang, Q Peng, C Hyde, D Potter, J Wang, ... Toxicological Sciences 181 (1), 23-34, 2021 | 30 | 2021 |
| T cells and monocyte-derived myeloid cells mediate immunotherapy-related hepatitis in a mouse model HP Llewellyn, S Arat, J Gao, J Wen, S Xia, D Kalabat, E Oziolor, ... Journal of hepatology 75 (5), 1083-1095, 2021 | 29 | 2021 |
| Activated oncogenic pathway modifies iron network in breast epithelial cells: a dynamic modeling perspective J Chifman, S Arat, Z Deng, E Lemler, JC Pino, LA Harris, MA Kochen, ... PLoS computational biology 13 (2), e1005352, 2017 | 29 | 2017 |
| Microbiome changes in healthy volunteers treated with GSK1322322, a novel antibiotic targeting bacterial peptide deformylase S Arat, A Spivak, S Van Horn, E Thomas, C Traini, G Sathe, GP Livi, ... Antimicrobial agents and chemotherapy 59 (2), 1182-1192, 2015 | 20 | 2015 |
| Tissue-Specific Trans Regulation of the Mouse Epigenome CL Baker, M Walker, S Arat, G Ananda, P Petkova, NR Powers, H Tian, ... Genetics 211 (3), 831-845, 2019 | 19 | 2019 |
| Use of the dTAG system in vivo to degrade CDK2 and CDK5 in adult mice and explore potential safety liabilities P Yenerall, T Sung, K Palyada, J Qian, S Arat, SW Kumpf, SW Wang, ... Toxicological Sciences 194 (1), 53-69, 2023 | 7 | 2023 |
| Machine Learning Guided Association of Adverse Drug Reactions with R Ietswaart, S Arat, AX Chen, S Farahmand, B Kim, W DuMouchel Vitro, 2020 | 4 | 2020 |
| Annotation depth confounds direct comparison of gene expression across species E Oziolor, S Arat, M Martin BMC bioinformatics 22, 1-15, 2021 | 3 | 2021 |
| Nonclinical safety signals in PharmaPendium improve the predictability of human drug-induced liver injury P Rana, S Khan, S Arat, D Potter, N Khan Chemical Research in Toxicology 35 (11), 2133-2144, 2022 | 2 | 2022 |
| Graph machine learning in adverse events safety signal management: A research proposal Z Xie, S Arat, M Hauben, M Martin, P Caubel PHARMACOEPIDEMIOLOGY AND DRUG SAFETY 32, 504-505, 2023 | | 2023 |
| Effects of donor source on transcriptomic profiles of human kidney tissue S Arat, R Huynh, S Kumpf, J Qian, A Shoieb, R Virgen‐Slane, F Voigt, ... The FASEB Journal 37 (3), e22804, 2023 | | 2023 |
| Genetics: Early Online, published on December 28, 2018 as 10.1534/genetics. 118.301697 CL Baker, M Walker, S Arat, G Ananda, P Petkova, NR Powers, H Tian, ... | | 2018 |
| A Systems Biology Approach to Microbiology and Cancer S Arat Virginia Tech, 2015 | | 2015 |