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Showing results (11-20 of 15) with videos related to

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BMC Bioinformatics|March 17, 2019
Identifying miRNA-mRNA regulatory relationships in breast cancer with invariant causal predictionVu Vh Pham, Junpeng Zhang, Lin Liu, et al.
Nature Communications|June 20, 2020
Efficient polygenic risk scores for biobank scale data by exploiting phenotypes from inferred relativesBuu Truong, Xuan Zhou, Jisu Shin, et al.
Frontiers in Cellular and Infection Microbiology|June 26, 2018
Use of Haploid Model of <i>Candida albicans</i> to Uncover Mechanism of Action of a Novel Antifungal AgentThuyen Truong, Tanujaa Suriyanarayanan, Guisheng Zeng, et al.
Nucleic Acids Research|August 3, 2019
Extensive transcriptional responses are co-ordinated by microRNAs as revealed by Exon-Intron Split Analysis (EISA)Katherine A Pillman, Kaitlin G Scheer, Emily Hackett-Jones, et al.
Life Science Alliance|September 25, 2020
Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics dataJovan Tanevski, Thin Nguyen, Buu Truong, et al.
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Showing results (11-20 of 15) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 15 results.
BMC Bioinformatics|March 17, 2019
Identifying miRNA-mRNA regulatory relationships in breast cancer with invariant causal predictionVu Vh Pham, Junpeng Zhang, Lin Liu, et al.
Nature Communications|June 20, 2020
Efficient polygenic risk scores for biobank scale data by exploiting phenotypes from inferred relativesBuu Truong, Xuan Zhou, Jisu Shin, et al.
Frontiers in Cellular and Infection Microbiology|June 26, 2018
Use of Haploid Model of <i>Candida albicans</i> to Uncover Mechanism of Action of a Novel Antifungal AgentThuyen Truong, Tanujaa Suriyanarayanan, Guisheng Zeng, et al.
Nucleic Acids Research|August 3, 2019
Extensive transcriptional responses are co-ordinated by microRNAs as revealed by Exon-Intron Split Analysis (EISA)Katherine A Pillman, Kaitlin G Scheer, Emily Hackett-Jones, et al.
Life Science Alliance|September 25, 2020
Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics dataJovan Tanevski, Thin Nguyen, Buu Truong, et al.
Pageof 2