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Cited by in F6Publishing
For: Zhao T, Fernando R, Cheng H. Interpretable artificial neural networks incorporating Bayesian alphabet models for genome-wide prediction and association studies. G3 (Bethesda) 2021;11:jkab228. [PMID: 34499126 DOI: 10.1093/g3journal/jkab228] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Cheng H, Fernando R, Garrick D, Zhao T, Qu J. 363. JWAS version 2: leveraging biological information and highthroughput phenotypes into genomic prediction and association. Proceeding of 12th World Congress on Genetics Applied to Livestock Production (WCGALP) 2022. [DOI: 10.3920/978-90-8686-940-4_363] [Reference Citation Analysis]
2 Gianola D, Crossa J, Gonzalez-recio O, Rosa G. 402. Machine learning and genetic improvement of animals and plants: where are we? Proceeding of 12th World Congress on Genetics Applied to Livestock Production (WCGALP) 2022. [DOI: 10.3920/978-90-8686-940-4_402] [Reference Citation Analysis]
3 Zhao T, Zeng J, Cheng H. 277. Extend mixed models to multi-layer neural networks for genomic prediction including intermediate omics data. Proceeding of 12th World Congress on Genetics Applied to Livestock Production (WCGALP) 2022. [DOI: 10.3920/978-90-8686-940-4_277] [Reference Citation Analysis]
4 Zhao Y, Tian Y, Sun Y, Li Y. The Development of Forest Genetic Breeding and the Application of Genome Selection and CRISPR/Cas9 in Forest Breeding. Forests 2022;13:2116. [DOI: 10.3390/f13122116] [Reference Citation Analysis]
5 Zhao T, Cheng H. Interpreting single-step genomic evaluations as mixed effects neural networks of three layers: pedigree, genotypes, and phenotypes.. [DOI: 10.1101/2022.07.18.500526] [Reference Citation Analysis]
6 Mathew B, Hauptmann A, Léon J, Sillanpää MJ. NeuralLasso: Neural Networks Meet Lasso in Genomic Prediction. Front Plant Sci 2022;13:800161. [DOI: 10.3389/fpls.2022.800161] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Chen CJ, Garrick D, Fernando R, Karaman E, Stricker C, Keehan M, Cheng H. XSim version 2: simulation of modern breeding programs. G3 Genes|Genomes|Genetics 2022;12. [DOI: 10.1093/g3journal/jkac032] [Reference Citation Analysis]
8 Zhao T, Zeng J, Cheng H. Extend Mixed Models to Multi-layer Neural Networks for Genomic Prediction Including Intermediate Omics Data.. [DOI: 10.1101/2021.12.10.472186] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]