Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Adriana Sistig

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Genome Research|October 2, 2021
Advances in spatial transcriptomic data analysisRuben Dries, Jiaji Chen, Natalie Del Rossi, et al.
Biorxiv : the Preprint Server for Biology|December 11, 2023
Giotto Suite: a multi-scale and technology-agnostic spatial multi-omics analysis ecosystemJiaji George Chen, Joselyn Cristina Chávez-Fuentes, Matthew O'Brien, et al.
Nature Communications|January 23, 2023
MiXcan: a framework for cell-type-aware transcriptome-wide association studies with an application to breast cancerXiaoyu Song, Jiayi Ji, Joseph H Rothstein, et al.
Nature Methods|October 1, 2025
Giotto Suite: a multiscale and technology-agnostic spatial multiomics analysis ecosystemJiaji G Chen, Joselyn C Chávez-Fuentes, Matthew O'Brien, et al.
Medrxiv : the Preprint Server for Health Sciences|June 29, 2026
Cross-Device Adaptation of Mirai for Mammography-Based Breast Cancer Risk PredictionAdriana Sistig, Joseph H Rothstein, Tejomay Gadgil, et al.
Medrxiv : the Preprint Server for Health Sciences|December 8, 2025
Cell-type aware transcriptome-wide association study of mammographic density phenotypesAdriana Sistig, Joseph H Rothstein, Sinan Zhu, et al.
Breast Cancer Research : BCR|August 6, 2023
Examination of fully automated mammographic density measures using LIBRA and breast cancer risk in a cohort of 21,000 non-Hispanic white womenLaurel A Habel, Stacey E Alexeeff, Ninah Achacoso, et al.
Journal of the National Cancer Institute|June 22, 2026
Comparative 10-year performance of mammography artificial intelligence, polygenic, and clinical breast cancer risk models in the Kaiser Permanente Research BankVignesh A Arasu, Tejomay Gadgil, Joseph H Rothstein, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Genome Research|October 2, 2021
Advances in spatial transcriptomic data analysisRuben Dries, Jiaji Chen, Natalie Del Rossi, et al.
Biorxiv : the Preprint Server for Biology|December 11, 2023
Giotto Suite: a multi-scale and technology-agnostic spatial multi-omics analysis ecosystemJiaji George Chen, Joselyn Cristina Chávez-Fuentes, Matthew O'Brien, et al.
Nature Communications|January 23, 2023
MiXcan: a framework for cell-type-aware transcriptome-wide association studies with an application to breast cancerXiaoyu Song, Jiayi Ji, Joseph H Rothstein, et al.
Nature Methods|October 1, 2025
Giotto Suite: a multiscale and technology-agnostic spatial multiomics analysis ecosystemJiaji G Chen, Joselyn C Chávez-Fuentes, Matthew O'Brien, et al.
Medrxiv : the Preprint Server for Health Sciences|June 29, 2026
Cross-Device Adaptation of Mirai for Mammography-Based Breast Cancer Risk PredictionAdriana Sistig, Joseph H Rothstein, Tejomay Gadgil, et al.
Medrxiv : the Preprint Server for Health Sciences|December 8, 2025
Cell-type aware transcriptome-wide association study of mammographic density phenotypesAdriana Sistig, Joseph H Rothstein, Sinan Zhu, et al.
Breast Cancer Research : BCR|August 6, 2023
Examination of fully automated mammographic density measures using LIBRA and breast cancer risk in a cohort of 21,000 non-Hispanic white womenLaurel A Habel, Stacey E Alexeeff, Ninah Achacoso, et al.
Journal of the National Cancer Institute|June 22, 2026
Comparative 10-year performance of mammography artificial intelligence, polygenic, and clinical breast cancer risk models in the Kaiser Permanente Research BankVignesh A Arasu, Tejomay Gadgil, Joseph H Rothstein, et al.
Pageof 1