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Inferring Disease Progressive Stages in Single-Cell Transcriptomics Using Weakly-Supervised Deep Learning Approach

2023-12-01

Abstract excerpt

<h4>Background</h4> Application of single-cell/nucleus genomic sequencing to patient-derived tissues offers potential solutions to delineate disease mechanisms in human. However, individual cells in patient-derived tissues are in different pathological stages, and hence such cellular variability impedes subsequent differential gene expression analyses. <h4>Result</h4> To overcome such heterogeneity issue, we pre...

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Literature Corpus work
615f30cf-91b8-5f1d-94e3-615a9da1a8b8
DOI
10.1101/2023.12.01.569595
Open publication

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Inferring Disease Progressive Stages in Single-Cell Transcriptomics Using Weakly-Supervised Deep Learning ApproachDOI 10.1101/2023.12.01.569595
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