受强制性开放获取政策约束的文章 - Jane W. Liang了解详情
无法在其他位置公开访问的文章：1 篇
A likelihood‐based approach to assessing frequency of pathogenicity among variants of unknown significance in susceptibility genes
Y Yang, C Hong, JW Liang, S Gruber, G Parmigiani, G Idos, D Braun
Statistics in Medicine 40 (3), 593-606, 2021
强制性开放获取政策： US National Institutes of Health
可在其他位置公开访问的文章：10 篇
Profiling DNA methylation differences between inbred mouse strains on the Illumina Human Infinium MethylationEPIC microarray
H Gujar, JW Liang, NC Wong, K Mozhui
PloS one 13 (3), e0193496, 2018
强制性开放获取政策： US National Institutes of Health
Validation of breast cancer risk models by race/ethnicity, family history and molecular subtypes
AM McCarthy, Y Liu, S Ehsan, Z Guan, J Liang, T Huang, K Hughes, ...
Cancers 14 (1), 45, 2021
强制性开放获取政策： US National Institutes of Health
Longitudinal study of leukocyte DNA methylation and biomarkers for cancer risk in older adults
AH Bartlett, JW Liang, JV Sandoval-Sierra, JH Fowke, EM Simonsick, ...
Biomarker Research 7, 1-13, 2019
强制性开放获取政策： US National Institutes of Health
Multi-syndrome, multi-gene risk modeling for individuals with a family history of cancer with the novel R package PanelPRO
G Lee, JW Liang, Q Zhang, T Huang, C Choirat, G Parmigiani, D Braun
Elife 10, e68699, 2021
强制性开放获取政策： US National Institutes of Health
Statistical methods for Mendelian models with multiple genes and cancers
JW Liang, GE Idos, C Hong, SB Gruber, G Parmigiani, D Braun
Genetic epidemiology 46 (7), 395-414, 2022
强制性开放获取政策： US National Institutes of Health
Matrix linear models for high-throughput chemical genetic screens
JW Liang, RJ Nichols, Ś Sen
Genetics 212 (4), 1063-1073, 2019
强制性开放获取政策： US National Institutes of Health
Heterogeneous treatment effects of intensive glycemic control on kidney microvascular outcomes in ACCORD
V Charu, JW Liang, GM Chertow, ZJ Li, ME Montez-Rath, P Geldsetzer, ...
medRxiv, 2023
强制性开放获取政策： US National Institutes of Health
Benchmarking clinical risk prediction algorithms with ensemble machine learning: An illustration of the superlearner algorithm for the non-invasive diagnosis of liver fibrosis …
V Charu, JW Liang, A Mannalithara, A Kwong, L Tian, WR Kim
medRxiv, 2023.08. 02.23293569, 2023
强制性开放获取政策： US National Institutes of Health
A framework evaluating the utility of multi-gene, multi-disease population-based panel testing that accounts for uncertainty in penetrance estimates
JW Liang, KD Christensen, RC Green, P Kraft
bioRxiv, 2022.08. 10.503415, 2022
强制性开放获取政策： US National Institutes of Health
Sparse matrix linear models for structured high-throughput data
JW Liang, Ś Sen
The Annals of Applied Statistics 16 (1), 169-192, 2022
强制性开放获取政策： US National Institutes of Health
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