New features, data, types of data and more
Targeted therapies for melanoma, like BRAF and MEK inhibitors, can shrink tumors but often fail to completely eliminate all cancer cells. A small group [...]
Agent-based models (ABMs) are powerful tools for exploring how individual interactions lead to complex, emergent behaviors in biology, ecology, and society. Yet, assessing the [...]
Cancer evolves over time, but capturing these dynamics has long been a challenge. EVOFLUx is a new method that uses natural DNA methylation “barcodes” [...]
Tellurium is a Python environment for modeling and simulating biological systems. It provides a comprehensive toolkit for systems and synthetic biology, enabling researchers to [...]
From Brown et al. (https://pubmed.ncbi.nlm.nih.gov/38471099/), this dataset investigates the epithelial to mesenchymal transition (EMT) in pancreatic cancer. EMT is believed to correlate with metastatic [...]
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 [...]
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, [...]
The POT library brings the power of optimal transport (OT) to Python, helping researchers compare and transform probability distributions efficiently. OT is a mathematical [...]
