Showing results (11-20 of 21) with videos related to
Sort By:
Pageof 3
Nature Communications|July 1, 2026
A deep learning framework for efficient pathology image analysisPeter Neidlinger, Tim Lenz, Sebastian Foersch, et al.Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|September 25, 2012
A pooled analysis of smoking and colorectal cancer: timing of exposure and interactions with environmental factorsJian Gong, Carolyn Hutter, John A Baron, et al.American Journal of Human Genetics|May 5, 2018
A Mixed-Effects Model for Powerful Association Tests in Integrative Functional GenomicsYu-Ru Su, Chongzhi Di, Stephanie Bien, et al.Cancer Cell|June 11, 2026
Spatial biomarker discovery via interpretable semantic learning in histopathologyJunhao Liang, Xiaofeng Jiang, Nic Gabriel Reitsam, et al.Breast Cancer Research and Treatment|April 23, 2024
Disentangling the relationships of body mass index and circulating sex hormone concentrations in mammographic density using Mendelian randomizationCameron B Haas, Hongjie Chen, Tabitha Harrison, et al.International Journal of Cancer|April 6, 2022
Diabetes mellitus in relation to colorectal tumor molecular subtypes: A pooled analysis of more than 9000 casesSophia Harlid, Bethany Van Guelpen, Conghui Qu, et al.Journal of the National Cancer Institute|March 17, 2023
Genome-wide analyses characterize shared heritability among cancers and identify novel cancer susceptibility regionsSara Lindström, Lu Wang, Helian Feng, et al.HGG Advances|January 20, 2022
Hemochromatosis risk genotype is not associated with colorectal cancer or age at its diagnosisGail P Jarvik, Xiaoliang Wang, Pierre Fontanillas, et al.Gastroenterology|October 15, 2020
Identifying Novel Susceptibility Genes for Colorectal Cancer Risk From a Transcriptome-Wide Association Study of 125,478 SubjectsXingyi Guo, Weiqiang Lin, Wanqing Wen, et al.Nature Genetics|August 23, 2016
A reference panel of 64,976 haplotypes for genotype imputationShane McCarthy, Sayantan Das, Warren Kretzschmar, et al.Pageof 3