Lorin Crawford

16 papers A* 1B 1Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Characterizing clinical toxicity in cancer combination therapies.
Bioinform.
Alexandra M. Wong, Cecile P. G. Meier-Scherling, Lorin Crawford
2026 J jnl
Improving atlas-scale single-cell annotation models with hierarchical cross-entropy loss.
Nat. Comput. Sci.
Sebastiano Cultrera di Montesano, Davide D'Ascenzo, Srivatsan Raghavan, Ava P. Amini, Peter S. Winter, Lorin Crawford
2026 J jnl
Trainable subnetworks reveal insights into structure knowledge organization in protein language models.
PLoS Comput. Biol.
Ria Vinod, Ava P. Amini, Lorin Crawford, Kevin K. Yang
2025 — conf
A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics.
ICCVW
Rushin H. Gindra, Giovanni Palla, Mathias Nguyen, Sophia J. Wagner, Manuel Tran, Fabian J. Theis, Dieter Saur, Lorin Crawford, Tingying Peng
2025 B conf
ML-MAGES: A Machine Learning Framework for Multivariate Genetic Association Analyses with Genes and Effect Size Shrinkage.
RECOMB
Xiran Liu, Lorin Crawford, Sohini Ramachandran
2024 J jnl
A simple approach for local and global variable importance in nonlinear regression models.
Comput. Stat. Data Anal.
Emily T. Winn-Nuñez, Maryclare Griffin, Lorin Crawford
2024 J jnl
BetaExplainer: A Probabilistic Method to Explain Graph Neural Networks.
CoRR
Whitney Sloneker, Shalin Patel, Michael Wang, Lorin Crawford, Ritambhara Singh
2024 J jnl
Genome-wide association study between SARS-CoV-2 single nucleotide polymorphisms and virus copies during infections.
PLoS Comput. Biol.
Ke Li, Chrispin Chaguza, Julian Stamp, Yi Ting Chew, Nicholas F. G. Chen, David Ferguson, Sameer Pandya, Nick Kerantzas, Wade Schulz, Anne M. Hahn, C. Brandon Ogbunugafor, Virginia E. Pitzer, Lorin Crawford, Daniel M. Weinberger, Nathan D. Grubaugh
2024 J jnl
Multioviz: an interactive platform for in silico perturbation and interrogation of gene regulatory networks.
BMC Bioinform.
Helen Xie, Lorin Crawford, Ashley Mae Conard
2023 J jnl
Deep self-supervised learning for biosynthetic gene cluster detection and product classification.
PLoS Comput. Biol.
Carolina Rios-Martinez, Nicholas Bhattacharya, Ava P. Amini, Lorin Crawford, Kevin K. Yang
2023 A* conf
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations.
NeurIPS
Hammaad Adam, Fan Yin, Huibin Hu, Neil A. Tenenholtz, Lorin Crawford, Lester Mackey, Allison Koenecke
2023 J jnl
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations.
CoRR
Hammaad Adam, Fan Yin, Mary Hu, Neil A. Tenenholtz, Lorin Crawford, Lester Mackey, Allison Koenecke
2022 J jnl
A topological data analytic approach for discovering biophysical signatures in protein dynamics.
PLoS Comput. Biol.
Wai-Shing Tang, Gabriel Monteiro da Silva, Henry Kirveslahti, Erin Skeens, Bibo Feng, Timothy Sudijono, Kevin K. Yang, Sayan Mukherjee, Brenda M. Rubenstein, Lorin Crawford
2020 J jnl
Generalizing Variational Autoencoders with Hierarchical Empirical Bayes.
CoRR
Wei Cheng, Gregory Darnell, Sohini Ramachandran, Lorin Crawford
2019 J jnl
Interpreting Deep Neural Networks Through Variable Importance.
CoRR
Jonathan Ish-Horowicz, Dana Udwin, Seth R. Flaxman, Sarah Filippi, Lorin Crawford
2019 J jnl
Tropical Sufficient Statistics for Persistent Homology.
SIAM J. Appl. Algebra Geom.
Anthea Monod, Sara Kalisnik, Juan Ángel Patino-Galindo, Lorin Crawford