| Microenvironment drives cell state, plasticity, and drug response in pancreatic cancer S Raghavan, PS Winter, AW Navia, HL Williams, A DenAdel, KE Lowder, ... Cell 184 (25), 6119-6137. e26, 2021 | 376 | 2021 |
| Predicting clinical outcomes in glioblastoma: an application of topological and functional data analysis L Crawford, A Monod, AX Chen, S Mukherjee, R Rabadán Journal of the American Statistical Association 115 (531), 1139-1150, 2020 | 155* | 2020 |
| Systematic mapping of BCL-2 gene dependencies in cancer reveals molecular determinants of BH3 mimetic sensitivity RS Soderquist, L Crawford, E Liu, M Lu, A Agarwal, GR Anderson, KH Lin, ... Nature communications 9 (1), 3513, 2018 | 123 | 2018 |
| Detecting epistasis with the marginal epistasis test in genetic mapping studies of quantitative traits L Crawford, P Zeng, S Mukherjee, X Zhou PLoS genetics 13 (7), e1006869, 2017 | 120 | 2017 |
| Melanoma therapeutic strategies that select against resistance by exploiting MYC-driven evolutionary convergence KR Singleton, L Crawford, E Tsui, HE Manchester, O Maertens, X Liu, ... Cell reports 21 (10), 2796-2812, 2017 | 106 | 2017 |
| A landscape of therapeutic cooperativity in KRAS mutant cancers reveals principles for controlling tumor evolution GR Anderson, PS Winter, KH Lin, DP Nussbaum, M Cakir, EM Stein, ... Cell reports 20 (4), 999-1015, 2017 | 102 | 2017 |
| Fast and flexible linear mixed models for genome-wide genetics DE Runcie, L Crawford PLoS genetics 15 (2), e1007978, 2019 | 69 | 2019 |
| Using antagonistic pleiotropy to design a chemotherapy-induced evolutionary trap to target drug resistance in cancer KH Lin, JC Rutter, A Xie, B Pardieu, ET Winn, RD Bello, A Forget, ... Nature genetics 52 (4), 408-417, 2020 | 66 | 2020 |
| PIK3CA mutations enable targeting of a breast tumor dependency through mTOR-mediated MCL-1 translation GR Anderson, SE Wardell, M Cakir, L Crawford, JC Leeds, DP Nussbaum, ... Science translational medicine 8 (369), 369ra175-369ra175, 2016 | 64 | 2016 |
| MegaLMM: mega-scale linear mixed models for genomic predictions with thousands of traits DE Runcie, J Qu, H Cheng, L Crawford Genome biology 22, 1-25, 2021 | 62 | 2021 |
| Bayesian approximate kernel regression with variable selection L Crawford, KC Wood, X Zhou, S Mukherjee Journal of the American Statistical Association 113 (524), 1710-1721, 2018 | 54 | 2018 |
| Stem cells and extracellular vesicles: biological regulators of physiology and disease T Borgovan, L Crawford, C Nwizu, P Quesenberry American Journal of Physiology-Cell Physiology 317 (2), C155-C166, 2019 | 43 | 2019 |
| Variable prioritization in nonlinear black box methods: A genetic association case study L Crawford, SR Flaxman, DE Runcie, M West The annals of applied statistics 13 (2), 958, 2019 | 38* | 2019 |
| A statistical pipeline for identifying physical features that differentiate classes of 3D shapes B Wang, T Sudijono, H Kirveslahti, T Gao, DM Boyer, S Mukherjee, ... The Annals of Applied Statistics 15 (2), 638-661, 2021 | 32 | 2021 |
| Assessing the limits of zero-shot foundation models in single-cell biology KZ Kedzierska, L Crawford, AP Amini, AX Lu bioRxiv, 2023.10. 16.561085, 2023 | 28 | 2023 |
| Multi-scale inference of genetic trait architecture using biologically annotated neural networks P Demetci, W Cheng, G Darnell, X Zhou, S Ramachandran, L Crawford PLoS genetics 17 (8), e1009754, 2021 | 26 | 2021 |
| A topological data analytic approach for discovering biophysical signatures in protein dynamics WS Tang, GM da Silva, H Kirveslahti, E Skeens, B Feng, T Sudijono, ... PLoS computational biology 18 (5), e1010045, 2022 | 22 | 2022 |
| Interpreting deep neural networks through variable importance J Ish-Horowicz, D Udwin, S Flaxman, S Filippi, L Crawford arXiv preprint arXiv:1901.09839, 2019 | 21 | 2019 |
| Tropical sufficient statistics for persistent homology A Monod, S Kalisnik, JÁ Patino-Galindo, L Crawford SIAM Journal on Applied Algebra and Geometry 3 (2), 337-371, 2019 | 18 | 2019 |
| Deep self-supervised learning for biosynthetic gene cluster detection and product classification C Rios-Martinez, N Bhattacharya, AP Amini, L Crawford, KK Yang PLOS Computational Biology 19 (5), e1011162, 2023 | 16 | 2023 |
Kris WoodDuke UniversityZweryfikowany adres z duke.edu