Lorin Crawford
Lorin Crawford
Principal Researcher, Microsoft Research
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
Fast and flexible linear mixed models for genome-wide genetics
DE Runcie, L Crawford
PLoS genetics 15 (2), e1007978, 2019
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
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
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
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
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
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
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
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
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
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
Interpreting deep neural networks through variable importance
J Ish-Horowicz, D Udwin, S Flaxman, S Filippi, L Crawford
arXiv preprint arXiv:1901.09839, 2019
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
Natural variation in the regulation of neurodevelopmental genes modifies flight performance in Drosophila
AN Spierer, JA Mossman, SP Smith, L Crawford, S Ramachandran, ...
PLoS Genetics 17 (3), e1008887, 2021
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