More than 10 million cancer mutations in TCGA have no known functional effect. Rather than characterizing each one experimentally, this dataset uses transcription factor [...]
One of the persistent problems in AML is that leukemia cells don't all die from chemotherapy; some survive, go quiet, and eventually drive relapse. [...]
Wednesday, June 17, 2026 | 9AM – 2PM PT / Noon – 5PM ET Patient-Specific Models of Cancer Virtual Symposium will feature a Keynote, [...]
CELESTA addresses a core need in spatial biology and cancer research: assigning cell types in multiplexed in situ imaging data without requiring labeled training [...]
Immune cells called macrophages make up a large chunk of a glioblastoma tumor — and they help it grow, hide from treatment, and resist [...]
PyRadiomics addresses a core need in precision oncology: systematically extracting quantitative features from medical images. This open-source Python package pulls hundreds of radiomic features [...]
Thursday, May 28, 2026 | 9AM - 2PM PT / Noon - 5PM ET The Role of the Immune System Virtual Symposium will feature [...]
Bone metastasis is common across cancer types, but what's happening at the cellular level inside those lesions has been hard to map. This dataset uses [...]
Cumulus helps researchers tackle one of single-cell genomics' biggest challenges: analyzing datasets too large for a laptop. It's a cloud-based framework for large-scale scRNA-seq and [...]
Tumors aren't genetically uniform, and which clones survive and why they survive has direct bearing on treatment resistance. LinG3D adds spatial context to lineage tracing. [...]
