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Arjun Bhattacharya

Showing results (1-10 of 47) with videos related to

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Plos Genetics|March 8, 2021
MOSTWAS: Multi-Omic Strategies for Transcriptome-Wide Association StudiesArjun Bhattacharya, Yun Li, Michael I Love
Bioinformatics (Oxford, England)|April 26, 2023
twas_sim, a Python-based tool for simulation and power analysis of transcriptome-wide association analysisXinran Wang, Zeyun Lu, Arjun Bhattacharya, et al.
Nucleic Acids Research|February 1, 2021
DeCompress: tissue compartment deconvolution of targeted mRNA expression panels using compressed sensingArjun Bhattacharya, Alina M Hamilton, Melissa A Troester, et al.
Nature Genetics|November 26, 2021
On powerful GWAS in admixed populationsKangcheng Hou, Arjun Bhattacharya, Rachel Mester, et al.
Research Square|November 14, 2023
Interplay Of Serum Bilirubin and Tobacco Smoking with Lung and Head and Neck Cancers in a Diverse, EHR-linked Los Angeles BiobankVidhya Venkateswaran, Ella Petter, Kristin Boulier, et al.
Biorxiv : the Preprint Server for Biology|September 2, 2025
Quantification method affects replicability of eQTL analysis, colocalization, and TWASNolan Cole, William Wu, S Taylor Head, et al.
Translational Psychiatry|January 18, 2024
Polygenic scores for tobacco use provide insights into systemic health risks in a diverse EHR-linked biobank in Los AngelesVidhya Venkateswaran, Kristin Boulier, Yi Ding, et al.
Medrxiv : the Preprint Server for Health Sciences|October 24, 2023
Interplay Of Serum Bilirubin and Tobacco Smoking with Lung and Head and Neck Cancers in a Diverse, EHR-linked Los Angeles BiobankVidhya Venkateswaran, Ella Petter, Kristin Boulier, et al.
American Journal of Human Genetics|July 25, 2023
Genotype error due to low-coverage sequencing induces uncertainty in polygenic scoringElla Petter, Yi Ding, Kangcheng Hou, et al.
Genome Biology|February 22, 2020
A framework for transcriptome-wide association studies in breast cancer in diverse study populationsArjun Bhattacharya, Montserrat García-Closas, Andrew F Olshan, et al.
Pageof 5

Showing results (1-10 of 47) with videos related to

Sort By:
Pageof 5
Plos Genetics|March 8, 2021
MOSTWAS: Multi-Omic Strategies for Transcriptome-Wide Association StudiesArjun Bhattacharya, Yun Li, Michael I Love
Bioinformatics (Oxford, England)|April 26, 2023
twas_sim, a Python-based tool for simulation and power analysis of transcriptome-wide association analysisXinran Wang, Zeyun Lu, Arjun Bhattacharya, et al.
Nucleic Acids Research|February 1, 2021
DeCompress: tissue compartment deconvolution of targeted mRNA expression panels using compressed sensingArjun Bhattacharya, Alina M Hamilton, Melissa A Troester, et al.
Nature Genetics|November 26, 2021
On powerful GWAS in admixed populationsKangcheng Hou, Arjun Bhattacharya, Rachel Mester, et al.
Research Square|November 14, 2023
Interplay Of Serum Bilirubin and Tobacco Smoking with Lung and Head and Neck Cancers in a Diverse, EHR-linked Los Angeles BiobankVidhya Venkateswaran, Ella Petter, Kristin Boulier, et al.
Biorxiv : the Preprint Server for Biology|September 2, 2025
Quantification method affects replicability of eQTL analysis, colocalization, and TWASNolan Cole, William Wu, S Taylor Head, et al.
Translational Psychiatry|January 18, 2024
Polygenic scores for tobacco use provide insights into systemic health risks in a diverse EHR-linked biobank in Los AngelesVidhya Venkateswaran, Kristin Boulier, Yi Ding, et al.
Medrxiv : the Preprint Server for Health Sciences|October 24, 2023
Interplay Of Serum Bilirubin and Tobacco Smoking with Lung and Head and Neck Cancers in a Diverse, EHR-linked Los Angeles BiobankVidhya Venkateswaran, Ella Petter, Kristin Boulier, et al.
American Journal of Human Genetics|July 25, 2023
Genotype error due to low-coverage sequencing induces uncertainty in polygenic scoringElla Petter, Yi Ding, Kangcheng Hou, et al.
Genome Biology|February 22, 2020
A framework for transcriptome-wide association studies in breast cancer in diverse study populationsArjun Bhattacharya, Montserrat García-Closas, Andrew F Olshan, et al.
Pageof 5