Single-cell RNA Sequence Classifiction (scRNASeq) project takes advantages of machine learning technology to classify types of cells by looking at the single-cell RNA sequence expression activity.
./data/: data directory, where all the.tsvfiles should be placed- datasets are available here: https://drive.google.com/drive/folders/1XGMXW1UD4SQhAArzontqD_1qtk67P6W_?usp=sharing
./src/: source code directory, where all source code files should be placed./docs/: document directory, where related documents should be placed./.gitignore: Git ignore file./README.md: read-me file
Below are the authorship information.
- Author: David Qiu
- Email: david@davidqiu.com
- Website: www.davidqiu.com
Copyright (C) 2017, David Qiu. All rights reserved.
Below are some helpful references.
- Analysis of single cell RNA-seq datah
- Using neural networks for reducing the dimensions of single-cell RNA-Seq data