Showing results (1-10 of 48) with videos related to

Sort By:
Pageof 5
Biometrics|June 29, 2023
On interquantile smoothness of censored quantile regression with induced smoothingZexi Cai, Tony Sit
Biometrics|February 7, 2020
Censored quantile regression model with time-varying covariates under length-biased samplingZexi Cai, Tony Sit
Genomics|October 12, 2025
Genomic insights into young stock survival in Danish Jersey cattle: A breed-specific QTL on chromosome 10 and its regulatory potentialZhonghao Bai, Wei Chen, Zexi Cai, et al.
Genetics, Selection, Evolution : GSE|May 12, 2019
Weighting sequence variants based on their annotation increases the power of genome-wide association studies in dairy cattleZexi Cai, Bernt Guldbrandtsen, Mogens Sandø Lund, et al.
BMC Genetics|May 13, 2018
Dissecting closely linked association signals in combination with the mammalian phenotype database can identify candidate genes in dairy cattleZexi Cai, Bernt Guldbrandtsen, Mogens Sandø Lund, et al.
BMC Genetics|January 31, 2019
Dissecting closely linked association signals in combination with the mammalian phenotype database can identify candidate genes in dairy cattleZexi Cai, Bernt Guldbrandtsen, Mogens Sandø Lund, et al.
BMC Genomics|September 8, 2018
Prioritizing candidate genes post-GWAS using multiple sources of data for mastitis resistance in dairy cattleZexi Cai, Bernt Guldbrandtsen, Mogens Sandø Lund, et al.
BMC Genomics|April 3, 2019
Prioritizing candidate genes for fertility in dairy cows using gene-based analysis, functional annotation and differential gene expressionZexi Cai, Bernt Guldbrandtsen, Mogens Sandø Lund, et al.
BMC Genetics|December 13, 2018
Retraction Note: Dissecting closely linked association signals in combination with the mammalian phenotype database can identify candidate genes in dairy cattleZexi Cai, Bernt Guldbrandtsen, Mogens Sandø Lund, et al.
World Journal of Microbiology & Biotechnology|July 28, 2025
The crosstalk between host and rumen microbiome in cattle: insights from multi-omics approaches and genome-wide association studiesXiaoxing Ye, Goutam Sahana, Mogens Sandø Lund, et al.
Pageof 5