Pattern recognition in living cells through the lens of machine learning

At a coarse level, pattern recognition within cells involves sensing of environmental signals by surface receptors, and activating downstream signalling pathways that ultimately drive a transcriptome response, enabling biological functions such as differentiation, migration, proliferation, apoptosis...

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Bibliographic Details
Published in:	Open biology Vol. 15; no. 7; pp. 240377 - 10
Main Authors:	Britto Bisso, Frank, Aguilar, Rodrigo, Shree, Durga, Zhu, Yinan, Espinoza, Mijael, Diaz, Benjamin, Cuba Samaniego, Christian
Format:	Journal Article
Language:	English
Published:	England The Royal Society Publishing 01.07.2025 The Royal Society
Subjects:	Apoptosis biocomputation Cell differentiation Cell migration Classification Computational Biology - methods Decision making Design Enzymes Gene Regulatory Networks Genes Humans Learning algorithms Ligands Machine Learning Mental task performance Neural networks Neural Networks, Computer Open Questions Pattern recognition Pattern Recognition, Automated - methods Phosphorylation Proteins Signal Transduction signalling pathways Structure-function relationships Synthetic biology Transcriptomes synthetic biology biocomputation signalling pathways neural networks pattern recognition
ISSN:	2046-2441, 2046-2441
Online Access:	Get full text
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