New features, data, types of data and more
🚀 Tool Spotlight: InterpolAI
InterpolAI is a deep learning-based tool that allows for advanced image analysis on biomedical images to help with 3D tissue mapping. Specifically, this tool [...]
New Dataset: Window of opportunity trial reveals mechanisms of response and resistance to navtemadlin in patients with recurrent glioblastoma
This dataset investigates the effectiveness of p53 reactivation in treating glioblastoma. They achieve this by treating multiple patients with differing levels of MDM2 inhibitor [...]
Tool Spotlight: Spotiphy
Spotiphy is a Python-based pipeline designed to enhance our understanding of biological tissues by integrating sequencing-based spatial transcriptomics data, scRNA-seq data, and high-resolution histological [...]
CCKP launches new features to help bench and computational researchers discover and explore cancer data
The Cancer Complexity Knowledge Portal (CCKP) aims to be the one-stop shop for discovering cancer-related research datasets hosted on various data and tool repositories, [...]
🚀 Tool Spotlight: Python Optimal Transport (POT) Library
The POT library brings the power of optimal transport (OT) to Python, helping researchers compare and transform probability distributions efficiently. OT is a mathematical [...]
Featured Publication: METI: deep profiling of tumor ecosystems by integrating cell morphology and spatial transcriptomics
METI: deep profiling of tumor ecosystems by integrating cell morphology and spatial transcriptomics Recent advances in spatial transcriptomics (ST) have improved insights into the tumor [...]
Featured Dataset: Structural Basis for Self-Discrimination by Neoantigen-Specific TCRs
Structural Basis for Self-Discrimination by Neoantigen-Specific TCRs This study highlights the RNA sequencing and whole exome sequencing data associated with the investigation of a [...]
NEW! Patient Advocacy Resources Available on the Cancer Complexity Knowledge Portal
Patient advocates bring essential perspectives to cancer research and are involved in several consortia associated with the MC2 Center. To support their efforts, as [...]
Featured Dataset: Spatial transcriptomics of xenograft tumor tissues
This study aims to compare the epigenomes of different patient-derived models of colorectal cancer (PDO (Patient-Derived Organoid), PDX (Patient-Derived Xenograft), and PDOX (Patient-Derived Orthotopic [...]
Featured Dataset: Transcriptional dysregulation of BAHCC1 in melanoma [Cut & Tag]
Cut&Tag sequencing data from melanoma cells revealed that BAHCC1, a gene associated with Super-Enhancers (SE) and critical for cancer growth, is highly active compared [...]