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RareCapsNet: An explainable capsule networks enable robust discovery of rare cell populations from large-scale single-cell transcriptomics

2026-02-04

Abstract excerpt

<h4>ABSTRACT</h4> In-silico analysis of single cell data (downstream analysis) seeks considerable attention to the machine learning researchers in the last few years. Recent technological advances and increases in throughput capabilities open up great new chances to discover rare cell types. We develop RareCapsNet, a rare cell identification technique through capsule network in large single cell RNA-seq data. Rar...

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Literature Corpus work
21122928-7d74-577a-a373-2b247b4816f6
DOI
10.64898/2026.02.02.703229
Open publication

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RareCapsNet: An explainable capsule networks enable robust discovery of rare cell populations from large-scale single-cell transcriptomicsDOI 10.64898/2026.02.02.703229
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