| Heterogeneity aware random forest for drug sensitivity prediction R Rahman, K Matlock, S Ghosh, R Pal Scientific reports 7 (1), 11347, 2017 | 65 | 2017 |
| Investigation of model stacking for drug sensitivity prediction K Matlock, C De Niz, R Rahman, S Ghosh, R Pal BMC bioinformatics 19, 21-33, 2018 | 47 | 2018 |
| Application of transfer learning for cancer drug sensitivity prediction SR Dhruba, R Rahman, K Matlock, S Ghosh, R Pal BMC bioinformatics 19, 51-63, 2018 | 33 | 2018 |
| Volasertib preclinical activity in high-risk hepatoblastoma D Kats, CA Ricker, NE Berlow, B Noblet, D Nicolle, K Mevel, ... Oncotarget 10 (60), 6403, 2019 | 21 | 2019 |
| Probabilistic modeling of personalized drug combinations from integrated chemical screen and molecular data in sarcoma NE Berlow, R Rikhi, M Geltzeiler, J Abraham, MN Svalina, LE Davis, ... BMC cancer 19, 1-23, 2019 | 18 | 2019 |
| Combination therapy design for maximizing sensitivity and minimizing toxicity K Matlock, N Berlow, C Keller, R Pal Proceedings of the 7th ACM International Conference on Bioinformatics …, 2016 | 18 | 2016 |
| System and method for automatic labeling of pathology images KL Matlock, G Srinivasa, CB Bifulco, BD Piening US Patent App. 16/895,401, 2020 | 14 | 2020 |
| Evaluating the consistency of large-scale pharmacogenomic studies R Rahman, SR Dhruba, K Matlock, C De-Niz, S Ghosh, R Pal Briefings in Bioinformatics 20 (5), 1734-1753, 2019 | 14 | 2019 |
| Defining an embryonal rhabdomyosarcoma endotype CA Ricker, K Crawford, K Matlock, M Lathara, B Seguin, ER Rudzinski, ... Molecular Case Studies 6 (2), a005066, 2020 | 12 | 2020 |
| Automated segmentation of MS lesions in MR images based on an information theoretic clustering and contrast transformations J Hill, K Matlock, B Nutter, S Mitra Technologies 3 (2), 142-161, 2015 | 9 | 2015 |
| Bromodomain 4 inhibition leads to MYCN downregulation in Wilms tumor AD Woods, NE Berlow, MV Ortiz, F Dela Cruz, A Siddiquee, DF Coutinho, ... Pediatric blood & cancer 69 (2), e29401, 2022 | 5 | 2022 |
| An investigation of proteomic data for application in precision medicine K Matlock, SR Dhruba, M Nazir, R Pal 2018 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2018 | 4 | 2018 |
| Applying Large Language Models for Causal Structure Learning in Non Small Cell Lung Cancer N Naik, A Khandelwal, M Joshi, M Atre, H Wright, K Kannan, S Hill, ... arXiv preprint arXiv:2311.07191, 2023 | 3 | 2023 |
| Bromodomain 4 inhibition leads to MYCN downregulation in Wilms’ tumor cells AD Woods, NE Berlow, R Purohit, KET Freier, JE Michalek, M Lathara, ... bioRxiv, 2021.01. 04.425208, 2021 | 2 | 2021 |
| CD203c is expressed by human fetal hepatoblasts and distinguishes subsets of hepatoblastoma MO Muench, ME Fomin, AG Gutierrez, D López-Terrada, R Gilfanova, ... Frontiers in Oncology 13, 927852, 2023 | 1 | 2023 |
| Sstack: an R package for stacking with applications to scenarios involving sequential addition of samples and features K Matlock, R Rahman, S Ghosh, R Pal Bioinformatics 35 (17), 3143-3145, 2019 | 1 | 2019 |
| Automated segmentation of MS lesions in FLAIR, DIR and T2-w MR images via an information theoretic approach JE Hill, K Matlock, R Pal, B Nutter, S Mitra Medical Imaging 2016: Image Processing 9784, 687-698, 2016 | 1 | 2016 |
| Design and Implementation of a Decentralized Virtual Molecular Tumor Board across a Large, Diverse Community Health System B Piening, P Foley, K Matlock, H Wright, L Harold, R Weerasinghe, A Viita, ... | | 2022 |
| Automated Staging of Breast Cancer Histopathology Images Using Deep Learning A Crabtree, N Naik, J Searcy, G Srinivasa, C Bifulco, K Matlock, B Piening | | 2022 |
| Genomic heterogeneity and clinical characterization of SARS-CoV-2 in Oregon AK Dowdell, K Matlock, FL Robinson, R Weerasinghe, R Rattray, M Pukay, ... medRxiv, 2020.07. 30.20160069, 2020 | | 2020 |
