This repository contains the code of the paper "DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images". Authors: Kalin Nonchev, Sebastian Dawo, Karina ...
Our editorial process produces two outputs: (i) public reviews designed to be posted alongside the preprint for the benefit of readers; (ii) feedback on the manuscript for the authors, including ...
Copyright: © 2023 The Author(s). Published by Elsevier B.V. Deep learning has revolutionized digital pathology, allowing automatic analysis of hematoxylin and eosin ...
Identification of Novel Prognostic Biomarkers Relevant to Immune Infiltration in Lung Adenocarcinoma
Background: Programmed death ligand-1 (PD-L1) is a biomarker for assessing the immune microenvironment, prognosis, and response to immune checkpoint inhibitors in the clinical treatment of lung ...
A further understanding of the molecular mechanism of hepatocellular carcinoma (HCC) is necessary to predict a patient’s prognosis and develop new targeted gene drugs. This study aims to identify ...
individual incidence function prediction in VLSA models; and prediction interpretation using our Shapley values-based method. Use the following command to load an experiment configuration and train ...
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