https://www.sciencedaily.com/releases/2010/12/101202141910.htm
Scientists map changes in genetic networks caused by DNA damage | ScienceDaily
Using a new technology called "differential epistasis maps," scientists have documented for the first time how a cellular genetic network completely rewires...
genetic networksdna damagescientistsmapchanges
https://stanford.edu/~boyd/papers/stab_gen_ss.html
Inferring Stable Genetic Networks from Steady-State Data
genetic networkssteady stateinferringstabledata
https://pmc.ncbi.nlm.nih.gov/articles/PMC193636/
Untangling genetic networks of panic, phobia, fear and anxiety - PMC
As is the case for normal individual variation in anxiety levels, the conditions panic disorder, agoraphobia and other phobias have a significant genetic...
fear and anxietygenetic networksuntanglingpanicphobia
https://www.acc.org/latest-in-cardiology/journal-scans/2015/01/16/20/30/integromic-analysis-of-genetic-variation-and-gene-expression
Integromic Analysis of Genetic Variation and Gene Expression Identifies Networks for Cardiovascular...
genetic variation
https://www.mql5.com/en/articles/11489
Neural networks made easy (Part 30): Genetic algorithms - MQL5 Articles
Dec 1, 2022 - Today I want to introduce you to a slightly different learning method. We can say that it is borrowed from Darwin's theory of evolution. It is probably less...
neural networksmade easypart 30genetic algorithmsmql5
https://elifesciences.org/articles/54507
Predicting geographic location from genetic variation with deep neural networks | eLife
Neural networks allow fast and accurate prediction of individual spatial locations from genotypes or sequencing data.
deep neural networksgeographic locationgenetic variationpredicting
https://www.preprints.org/manuscript/202504.2434
Boolean Networks with Intricate Updating Mode: Application to Genetic Regulatory Networks Involved...
(1) Background: Many familial diseases are caused by genetic accidents, which affect both the genome and its epigenetic environment, expressed as an...
boolean networksintricateupdating
https://www.mdpi.com/1424-8220/20/17/4683
The Use of Neural Networks and Genetic Algorithms to Control Low Rigidity Shafts Machining
The article presents an original machine-learning-based automated approach for controlling the process of machining of low-rigidity shafts using artificial...