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A Variational Inference Approach to Single-Cell Gene Regulatory Network Inference using Probabilistic Matrix Factorization

2022-09-12

Abstract excerpt

Inferring gene regulatory networks (GRNs) from single cell data is challenging due to heuristic limitations and a lack of uncertainty estimates in existing methods. To address this, we present Probabilistic Matrix Factorization for Gene Regulatory Network Inference (PMF-GRN). Using single cell expression data, PMF-GRN infers latent factors capturing transcription factor activity and regulatory relationships, incor...

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Literature Corpus work
611eef1d-9619-5fa4-9802-e7647c13cfcf
DOI
10.1101/2022.09.09.507305
Open publication

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A Variational Inference Approach to Single-Cell Gene Regulatory Network Inference using Probabilistic Matrix FactorizationDOI 10.1101/2022.09.09.507305
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