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Hae Kyung Im

Showing results (51-60 of 101) with videos related to

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Biorxiv : the Preprint Server for Biology|November 28, 2024
scPrediXcan integrates advances in deep learning and single-cell data into a powerful cell-type-specific transcriptome-wide association study frameworkYichao Zhou, Temidayo Adeluwa, Lisha Zhu, et al.
STAR Protocols|February 14, 2026
Protocol to perform cell-type-specific transcriptome-wide association study using scPrediXcan frameworkYichao Zhou, Sarah Sumner, Temidayo Adeluwa, et al.
Cell Genomics|May 15, 2025
scPrediXcan integrates deep learning methods and single-cell data into a cell-type-specific transcriptome-wide association study frameworkYichao Zhou, Temidayo Adeluwa, Lisha Zhu, et al.
American Journal of Respiratory and Critical Care Medicine|September 16, 2014
Genome-wide interrogation of longitudinal FEV1 in children with asthmaKehua Wu, Eric R Gamazon, Hae Kyung Im, et al.
Cancer Biology & Therapy|November 18, 2015
C. elegans and mutants with chronic nicotine exposure as a novel model of cancer phenotypeRajani Kanteti, Immanuel Dhanasingh, Essam El-Hashani, et al.
American Journal of Human Genetics|February 6, 2024
Transcriptome-wide association study of the plasma proteome reveals cis and trans regulatory mechanisms underlying complex traitsHenry Wittich, Kristin Ardlie, Kent D Taylor, et al.
Nature Genetics|August 11, 2015
A gene-based association method for mapping traits using reference transcriptome dataEric R Gamazon, Heather E Wheeler, Kaanan P Shah, et al.
Genome Medicine|May 23, 2022
Fine-mapping studies distinguish genetic risks for childhood- and adult-onset asthma in the HLA regionSelene M Clay, Nathan Schoettler, Andrew M Goldstein, et al.
Translational Research : the Journal of Laboratory and Clinical Medicine|April 19, 2011
Germline polymorphisms discovered via a cell-based, genome-wide approach predict platinum response in head and neck cancersDana Ziliak, Peter H O'Donnell, Hae Kyung Im, et al.
Medrxiv : the Preprint Server for Health Sciences|July 10, 2026
Multi-ancestry modeling improves fine-mapping resolution, protein prediction, and discovery for proteome-wide association studiesClaudia J Krueger, Matthew Fischer, Tooba Rizwan, et al.
Pageof 11

Showing results (51-60 of 101) with videos related to

Sort By:
Pageof 11
Biorxiv : the Preprint Server for Biology|November 28, 2024
scPrediXcan integrates advances in deep learning and single-cell data into a powerful cell-type-specific transcriptome-wide association study frameworkYichao Zhou, Temidayo Adeluwa, Lisha Zhu, et al.
STAR Protocols|February 14, 2026
Protocol to perform cell-type-specific transcriptome-wide association study using scPrediXcan frameworkYichao Zhou, Sarah Sumner, Temidayo Adeluwa, et al.
Cell Genomics|May 15, 2025
scPrediXcan integrates deep learning methods and single-cell data into a cell-type-specific transcriptome-wide association study frameworkYichao Zhou, Temidayo Adeluwa, Lisha Zhu, et al.
American Journal of Respiratory and Critical Care Medicine|September 16, 2014
Genome-wide interrogation of longitudinal FEV1 in children with asthmaKehua Wu, Eric R Gamazon, Hae Kyung Im, et al.
Cancer Biology & Therapy|November 18, 2015
C. elegans and mutants with chronic nicotine exposure as a novel model of cancer phenotypeRajani Kanteti, Immanuel Dhanasingh, Essam El-Hashani, et al.
American Journal of Human Genetics|February 6, 2024
Transcriptome-wide association study of the plasma proteome reveals cis and trans regulatory mechanisms underlying complex traitsHenry Wittich, Kristin Ardlie, Kent D Taylor, et al.
Nature Genetics|August 11, 2015
A gene-based association method for mapping traits using reference transcriptome dataEric R Gamazon, Heather E Wheeler, Kaanan P Shah, et al.
Genome Medicine|May 23, 2022
Fine-mapping studies distinguish genetic risks for childhood- and adult-onset asthma in the HLA regionSelene M Clay, Nathan Schoettler, Andrew M Goldstein, et al.
Translational Research : the Journal of Laboratory and Clinical Medicine|April 19, 2011
Germline polymorphisms discovered via a cell-based, genome-wide approach predict platinum response in head and neck cancersDana Ziliak, Peter H O'Donnell, Hae Kyung Im, et al.
Medrxiv : the Preprint Server for Health Sciences|July 10, 2026
Multi-ancestry modeling improves fine-mapping resolution, protein prediction, and discovery for proteome-wide association studiesClaudia J Krueger, Matthew Fischer, Tooba Rizwan, et al.
Pageof 11