Network-based approaches that exploit inferred transcription factor activity to analyze the impact of genetic variation on gene expression
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Computer Science Applications,Drug Discovery,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation
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1. Inferring TF activities and activity regulators from gene expression data with constraints from TF perturbation data;Bioinformatics;2020-12-22
2. Knowledge-primed neural networks enable biologically interpretable deep learning on single-cell sequencing data;Genome Biology;2020-08-03
3. Inferring TF activities and activity regulators from gene expression data with constraints from TF perturbation data;2020-05-26
4. Estimating drivers of cell state transitions using gene regulatory network models;BMC Systems Biology;2017-12
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