🚀 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 [...]
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 [...]
This dataset investigates the effectiveness of p53 reactivation in treating glioblastoma. They achieve this by treating multiple patients with differing levels of MDM2 inhibitor [...]
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 [...]
For those interested in variant interpretation, join the webinar "Exploring Personal Genomics with OpenCRAVAT" featuring Dr. Jasmine Baker and Dr. Rachel Karchin. OpenCRAVAT is [...]
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, [...]
What is your name, title and institutional affiliation? Valentina Matos-Romero, Ph.D. Candidate in Chemical and Biomolecular Engineering at Johns Hopkins University.​ What is [...]
The POT library brings the power of optimal transport (OT) to Python, helping researchers compare and transform probability distributions efficiently. OT is a mathematical [...]
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 [...]
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 [...]
Patient advocates bring essential perspectives to cancer research and are involved in several consortia associated with the MC2 Center. To support their efforts, as [...]