An Approach of Epistasis Detection Using Integer Linear Programming Optimizing Bayesian Network

Proposing a more effective and accurate epistatic loci detection method in large-scale genomic data has important research significance for improving crop quality, disease treatment, etc . Due to the characteristics of high accuracy and processing non-linear relationship, Bayesian network ( BN ) has...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE/ACM transactions on computational biology and bioinformatics Ročník 19; číslo 5; s. 2654 - 2671
Hlavní autori:	Yang, Xuan, Yang, Chen, Lei, Jimeng, Liu, Jianxiao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.09.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Age Algorithms Availability Bayes methods Bayesian analysis bayesian network Datasets Epistasis Genomics Integer linear programming Integer programming Linear programming Machine learning markov blanket Markov processes Medical treatment Mining multi-locus Optimization Phenotypes Search problems Statistical analysis
ISSN:	1545-5963, 1557-9964, 1557-9964
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!