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Medrxiv : the Preprint Server for Health Sciences|August 12, 2024
Genetic association and machine learning improves discovery and prediction of type 1 diabetesCarolyn McGrail, Timothy J Sears, Parul Kudtarkar, et al.
Biorxiv : the Preprint Server for Biology|July 18, 2023
Epigenetic Germline Variants Predict Cancer Prognosis and Risk and Distribute Uniquely in Topologically Associating DomainsShervin Goudarzi, Meghana Pagadala, Adam Klie, et al.
Nature Methods|September 17, 2013
Network-based stratification of tumor mutationsMatan Hofree, John P Shen, Hannah Carter, et al.
JACC. Cardiovascular Imaging|January 17, 2021
Targeted Coronary Artery Calcium Screening in High-Risk Younger Individuals Using Consumer Genetic Screening ResultsLauren M Severance, Hannah Carter, Francisco J Contijoch, et al.
F1000Research|January 26, 2026
Epigenetic germline variants predict cancer prognosis and risk and distribute uniquely in topologically associating domainsShervin Goudarzi, Meghana Pagadala, Adam Klie, et al.
Plos Biology|November 26, 2019
GPCRs show widespread differential mRNA expression and frequent mutation and copy number variation in solid tumorsKrishna Sriram, Kevin Moyung, Ross Corriden, et al.
Technical Innovations & Patient Support in Radiation Oncology|December 23, 2022
A value-based approach to prostate cancer image-guidance in a regional radiation therapy centre: a cost-minimisation analysisShannon Robards, Amy Brown, Tilley Pain, et al.
The EMBO Journal|October 31, 2022
Subcellular location of source proteins improves prediction of neoantigens for immunotherapyAndrea Castro, Saghar Kaabinejadian, Hooman Yari, et al.
BMC Genomics|July 4, 2013
Identifying Mendelian disease genes with the variant effect scoring toolHannah Carter, Christopher Douville, Peter D Stenson, et al.
Genome Medicine|September 16, 2018
Exome-wide analysis of bi-allelic alterations identifies a Lynch phenotype in The Cancer Genome AtlasAlexandra R Buckley, Trey Ideker, Hannah Carter, et al.
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