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Arjun Bhattacharya

Showing results (11-20 of 47) with videos related to

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Cell Genomics|February 13, 2023
The UCLA ATLAS Community Health Initiative: Promoting precision health research in a diverse biobankRuth Johnson, Yi Ding, Arjun Bhattacharya, et al.
Biorxiv : the Preprint Server for Biology|February 7, 2023
Impact of cross-ancestry genetic architecture on GWAS in admixed populationsRachel Mester, Kangcheng Hou, Yi Ding, et al.
American Journal of Human Genetics|June 26, 2024
Splicing-specific transcriptome-wide association uncovers genetic mechanisms for schizophreniaJonatan L Hervoso, Kofi Amoah, Jack Dodson, et al.
American Journal of Human Genetics|May 24, 2023
Impact of cross-ancestry genetic architecture on GWASs in admixed populationsRachel Mester, Kangcheng Hou, Yi Ding, et al.
Medrxiv : the Preprint Server for Health Sciences|November 22, 2024
Isoform-level analyses of 6 cancers uncover extensive genetic risk mechanisms undetected at the gene-levelYung-Han Chang, S Taylor Head, Tabitha Harrison, et al.
Nature Genetics|November 30, 2023
Isoform-level transcriptome-wide association uncovers genetic risk mechanisms for neuropsychiatric disorders in the human brainArjun Bhattacharya, Daniel D Vo, Connor Jops, et al.
Cancer Research|October 29, 2021
Gene-Level Germline Contributions to Clinical Risk of Recurrence Scores in Black and White Patients with Breast CancerAchal Patel, Montserrat García-Closas, Andrew F Olshan, et al.
Cell Genomics|November 7, 2022
Best practices for multi-ancestry, meta-analytic transcriptome-wide association studies: Lessons from the Global Biobank Meta-analysis InitiativeArjun Bhattacharya, Jibril B Hirbo, Dan Zhou, et al.
Briefings in Bioinformatics|August 14, 2020
An approach for normalization and quality control for NanoString RNA expression dataArjun Bhattacharya, Alina M Hamilton, Helena Furberg, et al.
Molecular Autism|December 14, 2020
Evidence for the placenta-brain axis: multi-omic kernel aggregation predicts intellectual and social impairment in children born extremely pretermHudson P Santos, Arjun Bhattacharya, Robert M Joseph, et al.
Pageof 5

Showing results (11-20 of 47) with videos related to

Sort By:
Pageof 5
Cell Genomics|February 13, 2023
The UCLA ATLAS Community Health Initiative: Promoting precision health research in a diverse biobankRuth Johnson, Yi Ding, Arjun Bhattacharya, et al.
Biorxiv : the Preprint Server for Biology|February 7, 2023
Impact of cross-ancestry genetic architecture on GWAS in admixed populationsRachel Mester, Kangcheng Hou, Yi Ding, et al.
American Journal of Human Genetics|June 26, 2024
Splicing-specific transcriptome-wide association uncovers genetic mechanisms for schizophreniaJonatan L Hervoso, Kofi Amoah, Jack Dodson, et al.
American Journal of Human Genetics|May 24, 2023
Impact of cross-ancestry genetic architecture on GWASs in admixed populationsRachel Mester, Kangcheng Hou, Yi Ding, et al.
Medrxiv : the Preprint Server for Health Sciences|November 22, 2024
Isoform-level analyses of 6 cancers uncover extensive genetic risk mechanisms undetected at the gene-levelYung-Han Chang, S Taylor Head, Tabitha Harrison, et al.
Nature Genetics|November 30, 2023
Isoform-level transcriptome-wide association uncovers genetic risk mechanisms for neuropsychiatric disorders in the human brainArjun Bhattacharya, Daniel D Vo, Connor Jops, et al.
Cancer Research|October 29, 2021
Gene-Level Germline Contributions to Clinical Risk of Recurrence Scores in Black and White Patients with Breast CancerAchal Patel, Montserrat García-Closas, Andrew F Olshan, et al.
Cell Genomics|November 7, 2022
Best practices for multi-ancestry, meta-analytic transcriptome-wide association studies: Lessons from the Global Biobank Meta-analysis InitiativeArjun Bhattacharya, Jibril B Hirbo, Dan Zhou, et al.
Briefings in Bioinformatics|August 14, 2020
An approach for normalization and quality control for NanoString RNA expression dataArjun Bhattacharya, Alina M Hamilton, Helena Furberg, et al.
Molecular Autism|December 14, 2020
Evidence for the placenta-brain axis: multi-omic kernel aggregation predicts intellectual and social impairment in children born extremely pretermHudson P Santos, Arjun Bhattacharya, Robert M Joseph, et al.
Pageof 5