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Keep up with the latest news from the NCI Center for Biomedical Informatics and Information Technology (CBIIT) and the data science communities.

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New Deep Learning Tool Accurately Classifies Tumor Types

NCI-DOE Collaboration researchers, using data from the Genomic Data Commons, have developed TULIP: a deep learning tool for classifying human RNA-seq-based tumor types.

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NCI Requests Your Input on the Use and Reuse of Cancer Metabolomics Data

Learn more about NCI’s Request for Information and contribute to the conversation around cancer metabolomics data.

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See What’s New in the Childhood Cancer Data Catalog

The latest update to the Childhood Cancer Data Catalog includes website improvements and the addition of the database of Genotypes and Phenotypes (dbGaP).

Childhood cancer patient trying to listen to the heartbeat of their teddy bear with a stethoscope.

Explore New Resources and Data Sets from the CCDI Data Catalog

The latest update to the Childhood Cancer Data Catalog includes new and updated data, improved accessibility, as well as enhanced site search tools.

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Check Out the NCI Childhood Cancer Data Initiative’s (CCDI’s) Newly Launched Molecular Targets Platform

Using this knowledgebase, researchers may search for associations between molecular drug targets, diseases, and drugs specific for childhood cancers.

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Share Feedback on NCI’s Imaging Data Commons

Do you work with imaging data and tools? Share feedback on NCI’s Imaging Data Commons!

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Deadline Extended: Submit Abstracts for the Eighth Computational Approaches for Cancer Workshop by August 16

As the necessity for and availability of large data sets in cancer applications grows, so do the challenges when conducting research and clinical applications with computational solutions. Share your experience with how to address such challenges.

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Compete in the MICCAI 2022 Federated Learning Breast Density Challenge

Data scientists, informaticists, and medical physicists are invited to develop the best, most generalizable models, algorithms, and approaches for breast density estimation using image-based distributed or federated learning.

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Laboratory of Human Retrovirology and Immunoinformatics’ Bioinformatics Tool, DAVID, Updated to Improve Gene List Annotation

The Frederick National Laboratory for Cancer Research’s Laboratory of Human Retrovirology and Immunoinformatics has updated its bioinformatics resource system known as DAVID. The system provides investigators with a set of functional annotation tools to better understand the biological meaning behind large lists of genes.

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New Open-Source Tool Developed by NCI Scientists Detects Signatures of T cell Resilience in Solid Tumors

Dr. Peng Jiang of NCI’s Center for Cancer Research Cancer Data Science Lab and his postdocs have developed an open-source computational tool called the tumor-resilient T cell (Tres) model. Tres analyzes gene activity in T cells to assess how those cells are likely to fare in an immunosuppressive environment.

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