| Second-generation PLINK: rising to the challenge of larger and richer datasets CC Chang, CC Chow, LCAM Tellier, S Vattikuti, SM Purcell, JJ Lee Gigascience 4 (1), s13742-015-0047-8, 2015 | 8971 | 2015 |
| Mutations in PTPN11 implicate the SHP-2 phosphatase in leukemogenesis ML Loh, S Vattikuti, S Schubbert, MG Reynolds, E Carlson, KH Lieuw, ... Blood 103 (6), 2325-2331, 2004 | 490 | 2004 |
| Heritability and genetic correlations explained by common SNPs for metabolic syndrome traits S Vattikuti, J Guo, CC Chow PLoS genetics 8 (3), e1002637, 2012 | 265 | 2012 |
| Prospective analysis of TEL/AML1-positive patients treated on Dana-Farber Cancer Institute Consortium protocol 95-01 ML Loh, MA Goldwasser, LB Silverman, WM Poon, S Vattikuti, A Cardoso, ... Blood 107 (11), 4508-4513, 2006 | 170 | 2006 |
| PTPN11 mutations in pediatric patients with acute myeloid leukemia: results from the Children's Cancer Group ML Loh, MG Reynolds, S Vattikuti, RB Gerbing, TA Alonzo, E Carlson, ... Leukemia 18 (11), 1831-1834, 2004 | 146 | 2004 |
| A computational model for cerebral cortical dysfunction in autism spectrum disorders S Vattikuti, CC Chow Biological psychiatry 67 (7), 672-678, 2010 | 99 | 2010 |
| Acquired PTPN11 mutations occur rarely in adult patients with myelodysplastic syndromes and chronic myelomonocytic leukemia ML Loh, S Martinelli, V Cordeddu, MG Reynolds, S Vattikuti, CM Lee, ... Leukemia research 29 (4), 459-462, 2005 | 73 | 2005 |
| Applying compressed sensing to genome-wide association studies S Vattikuti, JJ Lee, CC Chang, SDH Hsu, CC Chow GigaScience 3 (1), 2047-217X-3-10, 2014 | 47 | 2014 |
| COVID-19 reopening strategies at the county level in the face of uncertainty: Multiple Models for Outbreak Decision Support K Shea, RK Borchering, WJM Probert, E Howerton, TL Bogich, S Li, ... Medrxiv, 2020 | 29 | 2020 |
| Global prediction of unreported SARS-CoV2 infection from observed COVID-19 cases CC Chow, JC Chang, RC Gerkin, S Vattikuti MedRXiv, 2020 | 27 | 2020 |
| Canonical cortical circuit model explains rivalry, intermittent rivalry, and rivalry memory S Vattikuti, P Thangaraj, HW Xie, SJ Gotts, A Martin, CC Chow PLoS computational biology 12 (5), e1004903, 2016 | 26 | 2016 |
| Uncovering the genetic architectures of quantitative traits JJ Lee, S Vattikuti, CC Chow Computational and Structural Biotechnology Journal 14, 28-34, 2016 | 16 | 2016 |
| Dynamical modeling of multi-scale variability in neuronal competition BP Cohen, CC Chow, S Vattikuti Communications Biology 2 (1), 319, 2019 | 15 | 2019 |
| Multiple models for outbreak decision support in the face of uncertainty K Shea, RK Borchering, WJM Probert, E Howerton, TL Bogich, SL Li, ... Proceedings of the National Academy of Sciences 120 (18), e2207537120, 2023 | 11 | 2023 |
| Phase I/II study of ZARNESTRA (tm)(farnesyltransferase inhibitor [FTI] R115777, Tipifarnib) in patients with myeloproliferative disorders (MPDs): Preliminary results J Gotlib Blood 100, 798a, 2002 | 10 | 2002 |
| Somatic mutations in PTPN11 implicate the protein tyrosine phosphatase SHP-2 in leukemogenesis. ML Loh, S Vattikuti, S Schubbert, MG Reynolds, E Carlson, KH Lieuw, ... Blood 102 (11), 108A-108A, 2003 | 8 | 2003 |
| Probabilistically-autoencoded horseshoe-disentangled multidomain item-response theory models JC Chang, S Vattikuti, CC Chow arXiv preprint arXiv:1912.02351, 2019 | 7 | 2019 |
| Interpretable (not just posthoc-explainable) medical claims modeling for discharge placement to prevent avoidable all-cause readmissions or death JC Chang, TL Chang, CC Chow, R Mahajan, S Mahajan, J Maisog, ... arXiv preprint arXiv:2208.12814, 2022 | 3 | 2022 |
| Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization JC Chang, P Fletcher, J Han, TL Chang, S Vattikuti, B Desmet, A Zirikly, ... arXiv preprint arXiv:2012.04171, 2020 | 3 | 2020 |
| 26th annual computational neuroscience meeting (CNS* 2017): Part 3 AJH Newton, AH Seidenstein, RA McDougal, A Pérez-Cervera, G Huguet, ... BMC Neuroscience 18, 1-82, 2017 | 3 | 2017 |
