203 related articles for article (PubMed ID: 33733363)
1. Protocol for Epistasis Detection with Machine Learning Using GenEpi Package.
Petinrin OO; Wong KC
Methods Mol Biol; 2021; 2212():291-305. PubMed ID: 33733363
[TBL] [Abstract][Full Text] [Related]
2. GenEpi: gene-based epistasis discovery using machine learning.
Chang YC; Wu JT; Hong MY; Tung YA; Hsieh PH; Yee SW; Giacomini KM; Oyang YJ; Chen CY;
BMC Bioinformatics; 2020 Feb; 21(1):68. PubMed ID: 32093643
[TBL] [Abstract][Full Text] [Related]
3. Protocol for Construction of Genome-Wide Epistatic SNP Networks Using WISH-R Package.
Kadarmideen HN; Carmelo VAO
Methods Mol Biol; 2021; 2212():155-168. PubMed ID: 33733355
[TBL] [Abstract][Full Text] [Related]
4. Brief Survey on Machine Learning in Epistasis.
Chicco D; Faultless T
Methods Mol Biol; 2021; 2212():169-179. PubMed ID: 33733356
[TBL] [Abstract][Full Text] [Related]
5. Epistasis Detection Based on Epi-GTBN.
Chen X; Wong KC
Methods Mol Biol; 2021; 2212():325-335. PubMed ID: 33733365
[TBL] [Abstract][Full Text] [Related]
6. WISH-R- a fast and efficient tool for construction of epistatic networks for complex traits and diseases.
Carmelo VAO; Kogelman LJA; Madsen MB; Kadarmideen HN
BMC Bioinformatics; 2018 Jul; 19(1):277. PubMed ID: 30064383
[TBL] [Abstract][Full Text] [Related]
7. Epistasis Analysis: Classification Through Machine Learning Methods.
Liu L; Wong KC
Methods Mol Biol; 2021; 2212():337-345. PubMed ID: 33733366
[TBL] [Abstract][Full Text] [Related]
8. W-Test for Genetic Epistasis Testing.
Sun R; Weng H; Wang MH
Methods Mol Biol; 2021; 2212():45-53. PubMed ID: 33733349
[TBL] [Abstract][Full Text] [Related]
9. Enabling personal genomics with an explicit test of epistasis.
Greene CS; Himmelstein DS; Nelson HH; Kelsey KT; Williams SM; Andrew AS; Karagas MR; Moore JH
Pac Symp Biocomput; 2010; ():327-36. PubMed ID: 19908385
[TBL] [Abstract][Full Text] [Related]
10. The complete compositional epistasis detection in genome-wide association studies.
Wan X; Yang C; Yang Q; Zhao H; Yu W
BMC Genet; 2013 Feb; 14():7. PubMed ID: 23421496
[TBL] [Abstract][Full Text] [Related]
11. Performance of epistasis detection methods in semi-simulated GWAS.
Chatelain C; Durand G; Thuillier V; Augé F
BMC Bioinformatics; 2018 Jun; 19(1):231. PubMed ID: 29914375
[TBL] [Abstract][Full Text] [Related]
12. Genetic interactions effects for cancer disease identification using computational models: a review.
Manavalan R; Priya S
Med Biol Eng Comput; 2021 Apr; 59(4):733-758. PubMed ID: 33839998
[TBL] [Abstract][Full Text] [Related]
13. Eigen-Epistasis for detecting gene-gene interactions.
Stanislas V; Dalmasso C; Ambroise C
BMC Bioinformatics; 2017 Jan; 18(1):54. PubMed ID: 28114904
[TBL] [Abstract][Full Text] [Related]
14. A deep hybrid model to detect multi-locus interacting SNPs in the presence of noise.
Uppu S; Krishna A
Int J Med Inform; 2018 Nov; 119():134-151. PubMed ID: 30342681
[TBL] [Abstract][Full Text] [Related]
15. Epistasis Test in Meta-Analysis: A Multi-Parameter Markov Chain Monte Carlo Model for Consistency of Evidence.
Lin C; Chu CM; Su SL
PLoS One; 2016; 11(4):e0152891. PubMed ID: 27045371
[TBL] [Abstract][Full Text] [Related]
16. High-throughput analysis of epistasis in genome-wide association studies with BiForce.
Gyenesei A; Moody J; Semple CA; Haley CS; Wei WH
Bioinformatics; 2012 Aug; 28(15):1957-64. PubMed ID: 22618535
[TBL] [Abstract][Full Text] [Related]
17. Multifactor dimensionality reduction for graphics processing units enables genome-wide testing of epistasis in sporadic ALS.
Greene CS; Sinnott-Armstrong NA; Himmelstein DS; Park PJ; Moore JH; Harris BT
Bioinformatics; 2010 Mar; 26(5):694-5. PubMed ID: 20081222
[TBL] [Abstract][Full Text] [Related]
18. Analyzing High-Order Epistasis from Genotype-Phenotype Maps Using 'Epistasis' Package.
Chen J; Wong KC
Methods Mol Biol; 2021; 2212():265-275. PubMed ID: 33733361
[TBL] [Abstract][Full Text] [Related]
19. Epistasis detection on quantitative phenotypes by exhaustive enumeration using GPUs.
Kam-Thong T; Pütz B; Karbalai N; Müller-Myhsok B; Borgwardt K
Bioinformatics; 2011 Jul; 27(13):i214-21. PubMed ID: 21685073
[TBL] [Abstract][Full Text] [Related]
20. Learning genetic epistasis using Bayesian network scoring criteria.
Jiang X; Neapolitan RE; Barmada MM; Visweswaran S
BMC Bioinformatics; 2011 Mar; 12():89. PubMed ID: 21453508
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]