155 related articles for article (PubMed ID: 35627256)
1. Multi-Objective Artificial Bee Colony Algorithm Based on Scale-Free Network for Epistasis Detection.
Gu Y; Sun Y; Shang J; Li F; Guan B; Liu JX
Genes (Basel); 2022 May; 13(5):. PubMed ID: 35627256
[TBL] [Abstract][Full Text] [Related]
2. AFSBN: A Method of Artificial Fish Swarm Optimizing Bayesian Network for Epistasis Detection.
Wang L; Wang Y; Fu Y; Gao Y; Du J; Yang C; Liu J
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(4):1369-1383. PubMed ID: 31670676
[TBL] [Abstract][Full Text] [Related]
3. EpiMOGA: An Epistasis Detection Method Based on a Multi-Objective Genetic Algorithm.
Chen Y; Xu F; Pian C; Xu M; Kong L; Fang J; Li Z; Zhang L
Genes (Basel); 2021 Jan; 12(2):. PubMed ID: 33525573
[TBL] [Abstract][Full Text] [Related]
4. Epi-GTBN: an approach of epistasis mining based on genetic Tabu algorithm and Bayesian network.
Guo Y; Zhong Z; Yang C; Hu J; Jiang Y; Liang Z; Gao H; Liu J
BMC Bioinformatics; 2019 Aug; 20(1):444. PubMed ID: 31455207
[TBL] [Abstract][Full Text] [Related]
5. Genetic studies of complex human diseases: characterizing SNP-disease associations using Bayesian networks.
Han B; Chen XW; Talebizadeh Z; Xu H
BMC Syst Biol; 2012; 6 Suppl 3(Suppl 3):S14. PubMed ID: 23281790
[TBL] [Abstract][Full Text] [Related]
6. An Approach of Epistasis Detection Using Integer Linear Programming Optimizing Bayesian Network.
Yang X; Yang C; Lei J; Liu J
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(5):2654-2671. PubMed ID: 34181547
[TBL] [Abstract][Full Text] [Related]
7. Introducing Heuristic Information Into Ant Colony Optimization Algorithm for Identifying Epistasis.
Sun Y; Wang X; Shang J; Liu JX; Zheng CH; Lei X
IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(4):1253-1261. PubMed ID: 30403637
[TBL] [Abstract][Full Text] [Related]
8. A Novel Multitasking Ant Colony Optimization Method for Detecting Multiorder SNP Interactions.
Tuo S; Li C; Liu F; Zhu Y; Chen T; Feng Z; Liu H; Li A
Interdiscip Sci; 2022 Dec; 14(4):814-832. PubMed ID: 35788965
[TBL] [Abstract][Full Text] [Related]
9. Multipopulation harmony search algorithm for the detection of high-order SNP interactions.
Tuo S; Liu H; Chen H
Bioinformatics; 2020 Aug; 36(16):4389-4398. PubMed ID: 32227192
[TBL] [Abstract][Full Text] [Related]
10. FHSA-SED: Two-Locus Model Detection for Genome-Wide Association Study with Harmony Search Algorithm.
Tuo S; Zhang J; Yuan X; Zhang Y; Liu Z
PLoS One; 2016; 11(3):e0150669. PubMed ID: 27014873
[TBL] [Abstract][Full Text] [Related]
11. MACOED: a multi-objective ant colony optimization algorithm for SNP epistasis detection in genome-wide association studies.
Jing PJ; Shen HB
Bioinformatics; 2015 Mar; 31(5):634-41. PubMed ID: 25338719
[TBL] [Abstract][Full Text] [Related]
12. Self-Adjusting Ant Colony Optimization Based on Information Entropy for Detecting Epistatic Interactions.
Guan B; Zhao Y
Genes (Basel); 2019 Feb; 10(2):. PubMed ID: 30717303
[TBL] [Abstract][Full Text] [Related]
13. bNEAT: a Bayesian network method for detecting epistatic interactions in genome-wide association studies.
Han B; Chen XW
BMC Genomics; 2011; 12 Suppl 2(Suppl 2):S9. PubMed ID: 21989368
[TBL] [Abstract][Full Text] [Related]
14. An Improved Opposition-Based Learning Particle Swarm Optimization for the Detection of SNP-SNP Interactions.
Shang J; Sun Y; Li S; Liu JX; Zheng CH; Zhang J
Biomed Res Int; 2015; 2015():524821. PubMed ID: 26236727
[TBL] [Abstract][Full Text] [Related]
15. A fast algorithm for learning epistatic genomic relationships.
Jiang X; Neapolitan RE; Barmada MM; Visweswaran S; Cooper GF
AMIA Annu Symp Proc; 2010 Nov; 2010():341-5. PubMed ID: 21346997
[TBL] [Abstract][Full Text] [Related]
16. Detecting genome-wide epistases based on the clustering of relatively frequent items.
Xie M; Li J; Jiang T
Bioinformatics; 2012 Jan; 28(1):5-12. PubMed ID: 22053078
[TBL] [Abstract][Full Text] [Related]
17. Nature-Inspired Multiobjective Epistasis Elucidation from Genome-Wide Association Studies.
Li X; Zhang S; Wong KC
IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(1):226-237. PubMed ID: 29994485
[TBL] [Abstract][Full Text] [Related]
18. A Markov blanket-based method for detecting causal SNPs in GWAS.
Han B; Park M; Chen XW
BMC Bioinformatics; 2010 Apr; 11 Suppl 3(Suppl 3):S5. PubMed ID: 20438652
[TBL] [Abstract][Full Text] [Related]
19. An epistasis and heterogeneity analysis method based on maximum correlation and maximum consistence criteria.
Chen X; Lin Y; Qu Q; Ning B; Chen H; Li X
Math Biosci Eng; 2021 Sep; 18(6):7711-7726. PubMed ID: 34814271
[TBL] [Abstract][Full Text] [Related]
20. DualWMDR: Detecting epistatic interaction with dual screening and multifactor dimensionality reduction.
Cao X; Yu G; Ren W; Guo M; Wang J
Hum Mutat; 2020 Mar; 41(3):719-734. PubMed ID: 31705708
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
