skjq Goto Github PK

glioblastoma

gmrepoprogrammableaccess

programmable access to GM repo

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hannigan_crcvirome_mbio_2018

Investigating the gut virus communities associated with colon cancer.

hotmaps

Detects hotspot regions for somatic mutations in 3D protein structures

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

inwtutils

R package with utility functions used by INWT Statistics

labs

Rmd source files for the HarvardX series PH525x

machine-learning-course-in-ucas

国科大机器学习课程&机器学习笔记

machinelearning

Machine learning resources

mat2vec

Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).

matlabtfce

Standalone MATLAB implementation of permutation TFCE correction

mbirw

mfdcca2020

microarray-tutorials

Practice Multi-Platform Microarray Tutorial

microbefdt-neo4j

microbeFDT-neo4j

microbemiseq

Set of useful functions and scripts for analyzing amplicon Miseq data.

microber

Handy tools for Microbiome analysis in R

microbiomeanalystr

A companion R package for the MicrobiomeAnalyst web server

microbiomeexplorer

The Microbiome Explorer provides methods to analyze and visualize microbial community sequencing data either from the R command line or through a Shiny application. Written by Janina Reeder and Joseph N. Paulson.

microbiotaprocess

mmslab-tf2

MMSLAB-TF2-Lab

mytest

tt

my_wgcna

netcomi

Network Comparison for Microbial Compositional Data

netnmf-sc

netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data

network_enhancement

opencv-python-tutorial

📖 OpenCV-Python image processing tutorial for beginners

phdchat-philosophies

#PhDChat for the Alm lab summit: philosophies on coding and data for comp PhD students

poofsi

:zap: Learn concepts from Nature Methods' series "Points of Significance"