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A Bayesian Noisy Logic Model for Inference of Transcription Factor Activity from Single Cell and Bulk Transcriptomic Data

2023-05-05

Abstract excerpt

The advent of high-throughput sequencing has made it possible to measure the expression of genes at relatively low cost. However, direct measurement of regulatory mechanisms, such as Transcription Factor (TF) activity is still not readily feasible in a high-throughput manner. Consequently, there is a need for computational approaches that can reliably estimate regulator activity from observable gene expression dat...

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Literature Corpus work
94e2b9f5-938d-50b0-8bd8-7f4664c3d8f0
DOI
10.1101/2023.05.03.539308
Open publication

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A Bayesian Noisy Logic Model for Inference of Transcription Factor Activity from Single Cell and Bulk Transcriptomic DataDOI 10.1101/2023.05.03.539308
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