Finetuning Foundation Models for Temporal Clinical Transcriptomics Data

Sachin Mathur

doi:10.1093/bioinformatics/btag640

Finetuning Foundation Models for Temporal Clinical Transcriptomics Data

2026-08-27

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DOI：10.1093/bioinformatics/btag640

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Timeseries clinical transcriptomic datasets offer the opportunity to gain insights into the dynamics of disease mechanisms/treatment responses. However, their utility in uncovering temporal patterns is often limited by high noise levels and small sample sizes. Leveraging foundational gene embeddings and incorporating interaction information can help address these challenges, improve gene network analysis, and enable the detection of subtle changes that drive disease progression or drug response.

Finetuning Foundation Models for Temporal Clinical Transcriptomics Data

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