Conditional similarity triplets enable covariate-informed representations of single-cell data

Conditional similarity triplets enable covariate-informed representations of single-cell data

Abstract Background Single-cell technologies enable comprehensive profiling of diverse immune cell-types through the measurement of multiple genes or proteins per individual cell. In order to translate immune signatures assayed from blood or tissue into powerful diagnostics, machine learning approac...

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Bibliographic Details
Main Authors: Chi-Jane Chen, Haidong Yi, Natalie Stanley
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Bioinformatics
Subjects:
Single-cell
Immune profiling
Deep-learning
Clinical prediction
Online Access:https://doi.org/10.1186/s12859-025-06069-5
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https://doi.org/10.1186/s12859-025-06069-5

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