Lucas A. Salas
Orcid: 0000-0002-2279-4097
According to our database1,
Lucas A. Salas
authored at least 8 papers
between 2019 and 2023.
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Bibliography
2023
Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication.
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.
Frontiers Bioinform., 2022
A Novel Framework for the Identification of Reference DNA Methylation Libraries for Reference-Based Deconvolution of Cellular Mixtures.
Frontiers Bioinform., 2022
Development of biologically interpretable multimodal deep learning model for cancer prognosis prediction.
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.
Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022
2020
MethylNet: an automated and modular deep learning approach for DNA methylation analysis.
BMC Bioinform., 2020
PathFlowAI: A High-Throughput Workflow for Preprocessing, Deep Learning and Interpretation inDigital Pathology.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020
2019
PyMethylProcess - convenient high-throughput preprocessing workflow for DNA methylation data.
Bioinform., 2019