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Jane W Liang

Showing results (1-10 of 30) with videos related to

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The Annals of Applied Statistics|October 8, 2025
SPARSE MATRIX LINEAR MODELS FOR STRUCTURED HIGH-THROUGHPUT DATAJane W Liang, Śaunak Sen
Genetics|June 28, 2019
Matrix Linear Models for High-Throughput Chemical Genetic ScreensJane W Liang, Robert J Nichols, Śaunak Sen
International Journal of Obesity (2005)|August 5, 2025
Implicit and explicit weight bias among healthcare professionalsJane W Liang, Christie Buonpane, Shengxuan Wang, et al.
Plos One|March 13, 2018
Profiling DNA methylation differences between inbred mouse strains on the Illumina Human Infinium MethylationEPIC microarrayHemant Gujar, Jane W Liang, Nicholas C Wong, et al.
Annals of Surgery Open : Perspectives of Surgical History, Education, and Clinical Approaches|December 23, 2024
Gender and Authorship in Annals of Surgery: A nineteen-year review including the pandemicJane W Liang, Marcello Chang, Sharon L Stein, et al.
NPJ Genomic Medicine|May 17, 2024
Evaluating the utility of multi-gene, multi-disease population-based panel testing accounting for uncertainty in penetrance estimatesJane W Liang, Kurt D Christensen, Robert C Green, et al.
Medrxiv : the Preprint Server for Health Sciences|August 14, 2023
Benchmarking clinical risk prediction algorithms with ensemble machine learning: An illustration of the superlearner algorithm for the non-invasive diagnosis of liver fibrosis in non-alcoholic fatty liver diseaseVivek Charu, Jane W Liang, Ajitha Mannalithara, et al.
Hepatology (Baltimore, Md.)|April 30, 2024
Benchmarking clinical risk prediction algorithms with ensemble machine learning for the noninvasive diagnosis of liver fibrosis in NAFLDVivek Charu, Jane W Liang, Ajitha Mannalithara, et al.
Pediatric Transplantation|March 4, 2024
The effect of socioeconomic status on pediatric heart transplant outcomes at a single institution between 2013 and 2022Allison Armstrong, Jane W Liang, Danton Char, et al.
Elife|August 18, 2021
Multi-syndrome, multi-gene risk modeling for individuals with a family history of cancer with the novel R package PanelPROGavin Lee, Jane W Liang, Qing Zhang, et al.
Pageof 3

Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
The Annals of Applied Statistics|October 8, 2025
SPARSE MATRIX LINEAR MODELS FOR STRUCTURED HIGH-THROUGHPUT DATAJane W Liang, Śaunak Sen
Genetics|June 28, 2019
Matrix Linear Models for High-Throughput Chemical Genetic ScreensJane W Liang, Robert J Nichols, Śaunak Sen
International Journal of Obesity (2005)|August 5, 2025
Implicit and explicit weight bias among healthcare professionalsJane W Liang, Christie Buonpane, Shengxuan Wang, et al.
Plos One|March 13, 2018
Profiling DNA methylation differences between inbred mouse strains on the Illumina Human Infinium MethylationEPIC microarrayHemant Gujar, Jane W Liang, Nicholas C Wong, et al.
Annals of Surgery Open : Perspectives of Surgical History, Education, and Clinical Approaches|December 23, 2024
Gender and Authorship in Annals of Surgery: A nineteen-year review including the pandemicJane W Liang, Marcello Chang, Sharon L Stein, et al.
NPJ Genomic Medicine|May 17, 2024
Evaluating the utility of multi-gene, multi-disease population-based panel testing accounting for uncertainty in penetrance estimatesJane W Liang, Kurt D Christensen, Robert C Green, et al.
Medrxiv : the Preprint Server for Health Sciences|August 14, 2023
Benchmarking clinical risk prediction algorithms with ensemble machine learning: An illustration of the superlearner algorithm for the non-invasive diagnosis of liver fibrosis in non-alcoholic fatty liver diseaseVivek Charu, Jane W Liang, Ajitha Mannalithara, et al.
Hepatology (Baltimore, Md.)|April 30, 2024
Benchmarking clinical risk prediction algorithms with ensemble machine learning for the noninvasive diagnosis of liver fibrosis in NAFLDVivek Charu, Jane W Liang, Ajitha Mannalithara, et al.
Pediatric Transplantation|March 4, 2024
The effect of socioeconomic status on pediatric heart transplant outcomes at a single institution between 2013 and 2022Allison Armstrong, Jane W Liang, Danton Char, et al.
Elife|August 18, 2021
Multi-syndrome, multi-gene risk modeling for individuals with a family history of cancer with the novel R package PanelPROGavin Lee, Jane W Liang, Qing Zhang, et al.
Pageof 3