Lucas A. Salas

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 8

Top Topics

Mass Spectrometry

Top Venues

Frontiers Bioinform.

Publications

Zarif L. Azher, Anish Suvarna, Ji-Qing Chen, Ze Zhang, Brock C. Christensen, Lucas A. Salas, Louis J. Vaickus, Joshua J. Levy
Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication. BioData Min. 16 (1) (2023)
Zarif L. Azher, Louis J. Vaickus, Lucas A. Salas, Brock C. Christensen, Joshua J. Levy
Development of biologically interpretable multimodal deep learning model for cancer prognosis prediction. SAC (2022)
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
Graph Neural Networks Ameliorate Potential Impacts of Imprecise Large-Scale Autonomous Immunofluorescence Labeling of Immune Cells on Whole Slide Images. GeoMedIA (2022)
Michael P. Mariani, Jennifer A. Chen, Ze Zhang, Steven C. Pike, Lucas A. Salas
MethylMasteR: A Comparison and Customization of Methylation-Based Copy Number Variation Calling Software in Cancers Harboring Large Scale Chromosomal Deletions. Frontiers Bioinform. 2 (2022)
Shelby Bell-Glenn, Jeffrey A. Thompson, Lucas A. Salas, Devin C. Koestler
A Novel Framework for the Identification of Reference DNA Methylation Libraries for Reference-Based Deconvolution of Cellular Mixtures. Frontiers Bioinform. 2 (2022)
Joshua J. Levy, Alexander J. Titus, Curtis L. Petersen, Youdinghuan Chen, Lucas A. Salas, Brock C. Christensen
MethylNet: an automated and modular deep learning approach for DNA methylation analysis. BMC Bioinform. 21 (1) (2020)
Joshua J. Levy, Lucas A. Salas, Brock C. Christensen, Aravindhan Sriharan, Louis J. Vaickus
PathFlowAI: A High-Throughput Workflow for Preprocessing, Deep Learning and Interpretation inDigital Pathology. PSB (2020)
Joshua J. Levy, Alexander J. Titus, Lucas A. Salas, Brock C. Christensen
PyMethylProcess - convenient high-throughput preprocessing workflow for DNA methylation data. Bioinform. 35 (24) (2019)