retee Goto Github PK

anndata

Annotated data.

bioc2016singlecell

Bioconductor workshop: Analysis of single-cell RNA-seq data with R and Bioconductor

blcasubtyping

Transcriptomic tools to classify bladder tumours according to six published molecular classifications : Baylor, UNC, MDA, Lund, CIT-Curie, TCGA

chip-seq-analysis

ChIP-seq analysis notes from Tommy Tang

cimlr

Implementations in both Matlab and R of the CIMLR method. The manuscript of the method is available at: https://www.nature.com/articles/s41467-018-06921-8

cmscaller

consensusmibc

Transcriptomic classifier for Muscle-Invasive Bladder Cancer

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

crimmix

damage_repair

Genome-wide DNA damage and excision repair maps

datasciencestudynotes

这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deepcc

a deep learning-based framework for cancer classification

genus-wide-characterization-of-bumblebee-genomes

geo

gtex_brca

learnpython

以撸代码的形式学习Python

metabreacellline

Evaluating cancer cell lines as models for metastatic breast cancer

prca_twas

Scripts and Data for PrCa TWAS Project

proteogenomics_scc

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

py4bio

Public data for the book Python for Bioinformatics

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python-100-days

出处：https://github.com/jackfrued/Python-100-Days.git

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

replication-timing

rnaseq

RNA sequencing analysis pipeline using STAR, HISAT2 and Salmon with gene counts and quality control

rnaseq_tutorial

Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.

sbvs-vina

a framwork for virtual screen via Autodock vina.

scanpy

Single-Cell Analysis in Python. Scales to >1M cells.