| 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 | 29 | 2018 |
| 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 | 15 | 2021 |
| 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 | 15 | 2019 |
| 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 | 10 | 2021 |
| 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 | 2 | 2022 |
| Matrix linear models for high-throughput chemical genetic screens JW Liang, RJ Nichols, Ś Sen Genetics 212 (4), 1063-1073, 2019 | 2 | 2019 |
| Evaluation of Lynch syndrome risk models in a multicenter diverse population. J Lu, S Knapp, GG Seymour, C Wang, T Huang, J Liang, K Yang, ... Journal of Clinical Oncology 40 (16_suppl), 10597-10597, 2022 | 1 | 2022 |
| 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 | 1 | 2021 |
| The effect of socioeconomic status on pediatric heart transplant outcomes at a single institution between 2013 and 2022 A Armstrong, JW Liang, D Char, SA Hollander, KA Pyke‐Grimm Pediatric Transplantation 28 (2), e14695, 2024 | | 2024 |
| 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 | | 2022 |
| Sparse matrix linear models for structured high-throughput data JW Liang, Ś Sen The Annals of Applied Statistics 16 (1), 169-192, 2022 | | 2022 |
| THE ANNALS AB SPENCE, Y XU, B ZHANG, MIN ZHANG, RA GREEVY, LA NELSON, ... | | |
