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ABIDE Preprocessed Initiative

Automated cell type classification

SingleCellNet: classify single cells across species and platforms

scplotter is an R package that is built upon plotthis. It provides a set of functions to visualize single-cell sequencing and spatial data in an easy and efficient way.

The integration of single cell rank-based gene set enrichment analysis

SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.

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Multi-sample Unified Discriminant ANalysis

Machine learning-based integrative analysis develops an immune-derived lncRNA signature for improving clinical outcomes in colorectal cancer

scAB detects multiresolution cell states with clinical significance

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

Inference of cell-cell communication from single-cell RNAseq data

A unified interface to immune deconvolution methods (CIBERSORT, EPIC, quanTIseq, TIMER, xCell, MCPcounter) and mouse deconvolution methods

R toolkit for single cell genomics

Dataset distribution for Seurat

MeDuSA is a fine-resolution cellular deconvolution method that leverages scRNA-seq data as a reference to estimate cell-state abundance in bulk RNA-seq data.

A Fully Bayesian Inference of Tumor Microenvironment composition and gene expression

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Matlab Coding homework for Machine Learning

An unofficial api for downloading papers from SciHub via DOI, PMID, title

Classifier lightnings events according to the Electromagnetic field signature using deep learning

This repository contains code used to build and interpret a deep learning model. It is a DNN classifier trained using gene expression data (TCGA). Then is interpreted to identify cancer specific ge…

Python programs (and R programs) to retrieve, transform, analyse the mouse genes (text and numeric) stored in the online bioinformatics databases MGI, Ensembl, Uniprot and Unigene and to validate t…

Machine Learning is used across many spheres around the world. The healthcare industry is no exception. Machine Learning can play an essential role in predicting presence/absence of Locomotor disor…