Lucas A. Salas

According to our database, Lucas A. Salas authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

An initial game-theoretic assessment of enhanced tissue preparation and imaging protocols for improved deep learning inference of spatial transcriptomics from tissue morphology.

Michael Y. Fatemi, Yunrui Lu, Alos Diallo, Gokul Srinivasan, Zarif L. Azher, Brock C. Christensen, Lucas A. Salas, Gregory Tsongalis, Scott Palisoul, Laurent Perreard, Fred Kolling, Louis J. Vaickus, Joshua J. Levy

Briefings Bioinform., 2024

2023

Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication.

Zarif L. Azher, Anish Suvarna, Ji-Qing Chen, Ze Zhang, Brock C. Christensen, Lucas A. Salas, Louis J. Vaickus, Joshua J. Levy

BioData Min., January, 2023

2022

MethylMasteR: A Comparison and Customization of Methylation-Based Copy Number Variation Calling Software in Cancers Harboring Large Scale Chromosomal Deletions.

Michael P. Mariani, Jennifer A. Chen, Ze Zhang, Steven C. Pike, Lucas A. Salas

Frontiers Bioinform., 2022

A Novel Framework for the Identification of Reference DNA Methylation Libraries for Reference-Based Deconvolution of Cellular Mixtures.

Shelby Bell-Glenn, Jeffrey A. Thompson, Lucas A. Salas, Devin C. Koestler

Frontiers Bioinform., 2022

Development of biologically interpretable multimodal deep learning model for cancer prognosis prediction.

Zarif L. Azher, Louis J. Vaickus, Lucas A. Salas, Brock C. Christensen, Joshua J. Levy

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Graph Neural Networks Ameliorate Potential Impacts of Imprecise Large-Scale Autonomous Immunofluorescence Labeling of Immune Cells on Whole Slide Images.

Ramya Reddy, Ram Reddy, Cyril Sharma, Christopher R. Jackson, Scott Palisoul, Rachael Barney, Fred Kolling, Lucas A. Salas, Brock C. Christensen, Gabriel Brooks, Gregory Tsongalis, Louis J. Vaickus, Joshua J. Levy

Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022

2020

MethylNet: an automated and modular deep learning approach for DNA methylation analysis.

Joshua J. Levy, Alexander J. Titus, Curtis L. Petersen, Youdinghuan Chen, Lucas A. Salas, Brock C. Christensen

BMC Bioinform., 2020

PathFlowAI: A High-Throughput Workflow for Preprocessing, Deep Learning and Interpretation inDigital Pathology.

Joshua J. Levy, Lucas A. Salas, Brock C. Christensen, Aravindhan Sriharan, Louis J. Vaickus

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

2019

PyMethylProcess - convenient high-throughput preprocessing workflow for DNA methylation data.

Joshua J. Levy, Alexander J. Titus, Lucas A. Salas, Brock C. Christensen

Bioinform., 2019