DELLY2: Structural variant discovery by integrated paired-end and split-read analysis
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Updated
Mar 1, 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.
DeTiN is designed to measure tumor-in-normal contamination and improve somatic variant detection sensitivity when using a contaminated matched control.
Extract and evaluate radiomics for liver cancer tumors from DICOM segmentation masks. Using SimpleITK, PyRadiomics and PyDicom.
Sturgeon is a CNS neural network classifier
Code, data and model for Pérez-García et al. 2021, "A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections"
Deep Learning for Automatic Differential Diagnosis of Primary Central Nervous System Lymphoma and Glioblastoma: Multi-parametric MRI based Convolutional Neural Network Model
CaDRReS-Sc is a framework for analyzing drug response heterogeneity based on single-cell RNA-seq 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.
3D Slicer plugin for automatic segmentation and generation of standardized clinical reports for the most common brain tumors, using MRI volumes
Tool to estimate purity of tumor samples exploiting DNA Methylation data
Clinical oncology tumor board decision support system made by the Decider project.
A clinical genomics-guided prioritizing strategy enables accurately selecting proper cancer cell lines for biomedical research
🐳 Dockerized WES pipeline for variants identification in mathced tumor-normal samples
GATK 4 Mutect2 Somático
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