James Zou, Ph.D.
November 18, 2020 11:00 a.m. - 12:00 p.m. ET

James Zou, Ph.D.

Dr. James Zou will present new computer vision algorithms and describe how these can help identify the morphologies and phenotypes associated with complex diseases, such as cancer. He will also discuss the general principles behind this technology as well as current machine learning tools, such as Ghorbani, NeurIPS 2020, Abid, and Nature MI 2020.

Imaging Data Commons
November 16, 2020 01:00 p.m. - 02:30 p.m. ET

Attend the Upcoming NCI Imaging Informatics Webinar

The NCI Imaging Data Commons (IDC) will demo its online portal, capabilities, data sets, and tools during a special edition of the NCI Imaging Informatics Webinar Series.

Illustration of pink-colored cell cluster
November 16, 2020 - November 17, 2020

In this webinar, learn how scientists are addressing the wealth of new data generated by bulk and single-cell molecular, imaging, and computational approaches that are increasingly revealing how the genome folds to faithfully accommodate gene expression programs and cell fate decisions.

AMIA 2020 Virtual Symposium
November 14, 2020 10:00 a.m. - 05:30 p.m. ET

This collaborative workshop will bring together an interdisciplinary group of experts to share challenges, methods, and experiences toward the sustained development of software tools in the research enterprise. Speakers include Dr. Juli Klemm, coordinator of NCI’s Informatics Technology for Research (ITCR) program, and other ITCR principal investigators.

DNA strands transitioning in color from pink to green.
November 13, 2020 03:00 p.m. - 04:00 p.m. ET

John Torcivia, J.D.

In this “Containers and Workflows Interest Group” webinar, Dr. John Torcivia will discuss an application on the Institute for Systems Biology-Cancer Genomics Cloud where whole genome sequencing was used to generate variant calls for downstream research.

CAFCW20 Computational Approaches for Cancer Workshop. November 13, 2020. Cancer - COVID-19 - HPC. #MoreThanHPC
November 13, 2020 10:00 a.m. - 06:30 p.m. ET

In the virtual Sixth Computational Approaches for Cancer Workshop (CAFCW20), subject matter experts will share their insight on cancer research, including the challenges they faced in fostering collaborations and their ideas for addressing future innovations. NCI Director, Dr. Ned Sharpless, will deliver this year's keynote.

Illustrated outreached hands overlapping and intersecting each other, comprised of different colors.
November 10, 2020 12:00 p.m. - 01:00 p.m. ET

Nikhil Wagle, M.D., and Corrie Painter, Ph.D.

In this seminar, Drs. Nikhil Wagle and Corrie Painter will speak on behalf of “Count Me In,” a non-profit organization that allows researchers to work directly with patients and advocacy groups, along with software engineers and computational scientists, to collect, analyze, and share de-identified data.

November 06, 2020 12:00 p.m. - 01:00 p.m. ET

Bernhald Palsson, Ph.D.

In this webinar, UC San Diego’s Dr. Bernhald Palsson will discuss approaches that have progressed the integration of knowledge types into explanatory-artificial-intelligence (x-AI).

Institute for Systems Biology Cancer Genomics Cloud
November 04, 2020 - November 06, 2020

Attendees of the fourth Biological Data Science Virtual Meeting can learn more about the Institute for Systems Biology Cancer Genomics Cloud (ISB-CGC) and see how novel cloud-based computing is helping researchers learn more about the BrCA gene and its link to breast cancer. As an NCI Cloud Resource within the CRDC, the ISB-CGC offers researchers a cloud environment and a library of tools and pipelines for analyzing large amounts of data.

Illustration of a human standing with outstretched arms. Inside the body, a random assortment of colored dots representing cells - referring to the metabolome of a biological system.
October 21, 2020 11:00 a.m. - 12:00 p.m. ET

Xiuxia Du, Ph.D.

In this webinar, UNC-Charlotte’s Dr. Xiuxia Du will demonstrate how the software tool “ADAP” is used for preprocessing untargeted LC-MS and GC-MS metabolomics data. She will also present on “ADAP-KDB,” a spectral knowledge base for tracking unknown mass spectra.