BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Messad F, Louveau I, Koffi B, Gilbert H, Gondret F. Investigation of muscle transcriptomes using gradient boosting machine learning identifies molecular predictors of feed efficiency in growing pigs. BMC Genomics 2019;20:659. [PMID: 31419934 DOI: 10.1186/s12864-019-6010-9] [Cited by in Crossref: 14] [Cited by in F6Publishing: 13] [Article Influence: 4.7] [Reference Citation Analysis]
Number Citing Articles
1 Esmaeili M, Carter CG, Wilson R, Walker SP, Miller MR, Bridle A, Symonds JE. Proteomic investigation of liver and white muscle in efficient and inefficient Chinook salmon (Oncorhynchus tshawytscha): Fatty acid metabolism and protein turnover drive feed efficiency. Aquaculture 2021;542:736855. [DOI: 10.1016/j.aquaculture.2021.736855] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 8.0] [Reference Citation Analysis]
2 Te Pas MFW, Veldkamp T, de Haas Y, Bannink A, Ellen ED. Adaptation of Livestock to New Diets Using Feed Components without Competition with Human Edible Protein Sources-A Review of the Possibilities and Recommendations. Animals (Basel) 2021;11:2293. [PMID: 34438751 DOI: 10.3390/ani11082293] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
3 Bai Y, Yuan R, Luo Y, Kang Z, Zhu H, Qu L, Lan X, Song X. Exploration of Genetic Variants within the Goat A-Kinase Anchoring Protein 12 (AKAP12) Gene and Their Effects on Growth Traits. Animals (Basel) 2021;11:2090. [PMID: 34359218 DOI: 10.3390/ani11072090] [Reference Citation Analysis]
4 Messad F, Louveau I, Renaudeau D, Gilbert H, Gondret F. Analysis of merged whole blood transcriptomic datasets to identify circulating molecular biomarkers of feed efficiency in growing pigs. BMC Genomics 2021;22:501. [PMID: 34217223 DOI: 10.1186/s12864-021-07843-4] [Reference Citation Analysis]
5 Wang K, Zhang L, Duan D, Qiao R, Li X, Li X, Han X. Genomic Analysis Reveals Human-Mediated Introgression From European Commercial Pigs to Henan Indigenous Pigs. Front Genet 2021;12:705803. [PMID: 34220966 DOI: 10.3389/fgene.2021.705803] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
6 Delpuech E, Aliakbari A, Labrune Y, Fève K, Billon Y, Gilbert H, Riquet J. Identification of genomic regions affecting production traits in pigs divergently selected for feed efficiency. Genet Sel Evol 2021;53:49. [PMID: 34126920 DOI: 10.1186/s12711-021-00642-1] [Cited by in F6Publishing: 4] [Reference Citation Analysis]
7 Miao Y, Mei Q, Fu C, Liao M, Liu Y, Xu X, Li X, Zhao S, Xiang T. Genome-wide association and transcriptome studies identify candidate genes and pathways for feed conversion ratio in pigs. BMC Genomics 2021;22:294. [PMID: 33888058 DOI: 10.1186/s12864-021-07570-w] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
8 Zhang H, Qiu X, Yang G. The CSRNP Gene Family Serves as a Prognostic Biomarker in Clear Cell Renal Cell Carcinoma. Front Oncol 2021;11:620126. [PMID: 33869003 DOI: 10.3389/fonc.2021.620126] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Chintala S, Katzenellenbogen RA. NFX1, Its Isoforms and Roles in Biology, Disease and Cancer. Biology (Basel) 2021;10:279. [PMID: 33808060 DOI: 10.3390/biology10040279] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
10 Chen W, Alexandre PA, Ribeiro G, Fukumasu H, Sun W, Reverter A, Li Y. Identification of Predictor Genes for Feed Efficiency in Beef Cattle by Applying Machine Learning Methods to Multi-Tissue Transcriptome Data. Front Genet 2021;12:619857. [PMID: 33664767 DOI: 10.3389/fgene.2021.619857] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
11 Sun T, Huang GY, Wang ZH, Teng SH, Cao YH, Sun JL, Hanif Q, Chen NB, Lei CZ, Liao YY. Selection signatures of Fuzhong Buffalo based on whole-genome sequences. BMC Genomics 2020;21:674. [PMID: 32993537 DOI: 10.1186/s12864-020-07095-8] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 0.5] [Reference Citation Analysis]
12 Wang X, Zhang H, Huang M, Tang J, Yang L, Yu Z, Li D, Li G, Jiang Y, Sun Y, Wei S, Xu P, Ren J. Whole-genome SNP markers reveal conservation status, signatures of selection, and introgression in Chinese Laiwu pigs. Evol Appl 2021;14:383-98. [PMID: 33664783 DOI: 10.1111/eva.13124] [Cited by in Crossref: 1] [Cited by in F6Publishing: 8] [Article Influence: 0.5] [Reference Citation Analysis]
13 Hlongwane NL, Hadebe K, Soma P, Dzomba EF, Muchadeyi FC. Genome Wide Assessment of Genetic Variation and Population Distinctiveness of the Pig Family in South Africa. Front Genet 2020;11:344. [PMID: 32457791 DOI: 10.3389/fgene.2020.00344] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]