Eliezer M. Van Allen

According to our database, Eliezer M. Van Allen authored at least 11 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Cognitive bias in LLM reasoning compromises interpretation of clinical oncology notes.

Matthew W. Kenaston, Umair Ayub, Mihir Parmar, Muhammad Umair Anjum, Syed Arsalan Ahmed Naqvi, Priya Kumar, Samarth Rawal, Aadel A. Chaudhuri, Yousef Zakharia, Elizabeth I. Heath, Tanios S. Bekaii-Saab, Cui Tao, Eliezer M. Van Allen, Ben Zhou, YooJung Choi, Chitta Baral, Irbaz Bin Riaz

CoRR, November, 2025

UniversalEPI: a generalized attention-based deep ensemble model to accurately predict enhancer-promoter interactions across diverse cell types and conditions.

Aayush Grover, Lin Zhang, Till Muser, Simeon Haefliger, Minjia Wang, Josephine Yates, Eliezer M. Van Allen, Fabian J. Theis, Ignacio Ibarra, Ekaterina A. Krymova, Valentina Boeva

Dataset, March, 2025

UniversalEPI: a generalized attention-based deep ensemble model to accurately predict enhancer-promoter interactions across diverse cell types and conditions.

Aayush Grover, Lin Zhang, Till Muser, Simeon Haefliger, Minjia Wang, Josephine Yates, Eliezer M. Van Allen, Fabian J. Theis, Ignacio Ibarra, Ekaterina A. Krymova, Valentina Boeva

Dataset, January, 2025

2024

Fluoroformer: Scaling multiple instance learning to multiplexed images via attention-based channel fusion.

Marc Harary, Eliezer M. Van Allen, William Lotter

CoRR, 2024

2023

Empirical evaluation of language modeling to ascertain cancer outcomes from clinical text reports.

Haitham Elmarakeby, Pavel S. Trukhanov, Vidal M. Arroyo, Irbaz Bin Riaz, Deborah Schrag, Eliezer M. Van Allen, Kenneth L. Kehl

BMC Bioinform., December, 2023

2021

Biologically informed deep neural network for prostate cancer discovery.

Haitham Elmarakeby, Justin Hwang, Rand Arafeh, Jett Crowdis, Sydney Gang, David Liu, Saud H. AlDubayan, Keyan Salari, Steven Kregel, Camden Richter, Taylor E. Arnoff, Jihye Park, William C. Hahn, Eliezer M. Van Allen

Nat., 2021

2020

CoMut: visualizing integrated molecular information with comutation plots.

Jett Crowdis, Meng Xiao He, Brendan Reardon, Eliezer M. Van Allen

Bioinform., 2020

2019

Expanding Accessibility of a Molecular Oncology Almanac for Precision Cancer Medicine.

Nicholas S. Moore, Brendan Reardon, Eric Kofman, Nathanael D. Moore, Eliezer M. Van Allen

Proceedings of the AMIA 2019, 2019

2018

Interactive or static reports to guide clinical interpretation of cancer genomics.

Stacy W. Gray, Jeffrey Gagan, Ethan Cerami, Angel M. Cronin, Hajime Uno, Nelly Oliver, Carol Lowenstein, Ruth Lederman, Anna Revette, Aaron Suarez, Charlotte Lee, Jordan Bryan, Lynette Sholl, Eliezer M. Van Allen

J. Am. Medical Informatics Assoc., 2018

2017

Clinical Informatics for Precision Cancer Medicine: Computational Methods for Interpreting Individual Whole Exome and Transcriptome Tumor Sequence Data.

Nathanael D. Moore, Brendan Reardon, Eliezer M. Van Allen

Proceedings of the AMIA 2017, 2017

2015

CSER and eMERGE: current and potential state of the display of genetic information in the electronic health record.

Brian H. Shirts, Joseph S. Salama, Samuel J. Aronson, Wendy K. Chung, Stacy W. Gray, Lucia A. Hindorff, Gail P. Jarvik, Sharon E. Plon, Elena M. Stoffel, Peter Tarczy-Hornoch, Eliezer M. Van Allen, Karen E. Weck, Christopher G. Chute, Robert R. Freimuth, Robert Grundmeier, Andrea L. Hartzler, Rongling Li, Peggy L. Peissig, Josh F. Peterson, Luke V. Rasmussen, Justin B. Starren, Marc S. Williams, Casey Lynnette Overby

J. Am. Medical Informatics Assoc., 2015