Article

Identifying maximally informative signal-aware representations of single-cell data using the Information Bottleneck

2024-05-26

Abstract excerpt

Rapid advancements in single-cell RNA-sequencing (scRNA-seq) technologies revealed the richness of myriad attributes encompassing cell identity. However, the complexity of the data hinders tasks focusing on a specific biological signal. To address this challenge, we introduce bioIB, a framework based on the Information Bottleneck method, designed to extract an interpretable compressed representation of scRNA-seq d...

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Literature Corpus work: 0149d6d7-bcc8-503b-9605-65faa77652dd
DOI: 10.1101/2024.05.22.595292

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