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weizhiting's Projects

mimosca icon mimosca

A repository for the design and analysis of pooled single cell RNA-seq perturbation experiments.

mlxtend icon mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

nmt icon nmt

TensorFlow Neural Machine Translation Tutorial

oncofuse icon oncofuse

Predicting oncogenic potential of gene fusions

pmsignature icon pmsignature

R package for extracting mutation signatures from a list of somatic mutations

practical_seq2seq icon practical_seq2seq

A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly

prep icon prep

PREP: Prioritizing of RNA Editing-based Peptides

pymc3 icon pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

pytorch-metric-learning icon pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

scater icon scater

Single cell analysis tools for expression from RNA-seq in R

scde icon scde

R package for analyzing single-cell RNA-seq data

seq2seq icon seq2seq

Sequence to Sequence Learning with Keras

simlr icon simlr

Single-cell Interpretation via Multi-kernel Learning (R code in master branch, Matlab code in matlab branch), implementations of the method published in http://www.nature.com/nmeth/journal/vaop/ncurrent/full/nmeth.4207.html. Also see http://biorxiv.org/content/early/2017/03/21/118901 for a description of the software.

singlecellseq icon singlecellseq

Batch effects and the effective design of single-cell gene expression studies

tensorlayer icon tensorlayer

TensorLayer: Deep Learning and Reinforcement Learning Library for Researcher and Engineer.

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