ACSNI: An unsupervised machine-learning tool for prediction of tissue-specific pathway components using gene expression profiles

ACSNI: An unsupervised machine-learning tool for prediction of tissue-specific pathway components using gene expression profiles

Summary: Determining the tissue- and disease-specific circuit of biological pathways remains a fundamental goal of molecular biology. Many components of these biological pathways still remain unknown, hindering the full and accurate characterization of biological processes of interest. Here we descr...

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Bibliographic Details
Main Authors: Chinedu Anthony Anene, Faraz Khan, Findlay Bewicke-Copley, Eleni Maniati, Jun Wang
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Patterns
Subjects:
pathways
systems biology
neural network
cell signaling
gene-regulatory networks
machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2666389921000969

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http://www.sciencedirect.com/science/article/pii/S2666389921000969

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