DELLY2: Structural variant discovery by integrated paired-end and split-read analysis
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Updated
Jul 18, 2024 - C++
DELLY2: Structural variant discovery by integrated paired-end and split-read analysis
Personal Cancer Genome Reporter (PCGR)
EcoTyper is a machine learning framework for large-scale identification of cell states and cellular ecosystems from gene expression data.
Utilities to download and load an MRI brain tumor dataset with Python, providing 2D slices, tumor masks and tumor classes.
GATK 4 Mutect2 Somático
DeTiN is designed to measure tumor-in-normal contamination and improve somatic variant detection sensitivity when using a contaminated matched control.
Sturgeon is a CNS neural network classifier
Tool to estimate purity of tumor samples exploiting DNA Methylation data
This repository covers a brain scan tumor classification project for the University of Washington DATA 515 course. In our project we train a CNN to predict if a MRI scan (.jpg, .png, .jpeg) is tumorous or not.
Clinical oncology tumor board decision support system made by the Decider project.
Repository with models, experiments and approaches for the BraTS 2017 and iSeg segmentation challenges.
Extract and evaluate radiomics for liver cancer tumors from DICOM segmentation masks. Using SimpleITK, PyRadiomics and PyDicom.
A Website to diagnose various disease using ML and deep learning
Code, data and model for Pérez-García et al. 2021, "A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections"
CaDRReS-Sc is a framework for analyzing drug response heterogeneity based on single-cell RNA-seq data
🐳 Dockerized WES pipeline for variants identification in mathced tumor-normal samples
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