Pinned Repositories
450K_DataProcessing
Complete pipeline to process Illumina 450K methylation data.
aiHackCovid
Example Hackathon Submission
avocado
Avocado is a multi-scale deep tensor factorization model that learns a latent representation of the human epigenome and enables imputation of epigenomic experiments that have not yet been performed.
Beeline
BEELINE: evaluation of algorithms for gene regulatory network inference
decoupler-py
Python package to infer biological activities from omics data using a collection of methods.
mvid
single_cell
tf_vgg16_voc
shuang1330's Repositories
shuang1330/single_cell
shuang1330/mvid
shuang1330/450K_DataProcessing
Complete pipeline to process Illumina 450K methylation data.
shuang1330/aiHackCovid
Example Hackathon Submission
shuang1330/avocado
Avocado is a multi-scale deep tensor factorization model that learns a latent representation of the human epigenome and enables imputation of epigenomic experiments that have not yet been performed.
shuang1330/Beeline
BEELINE: evaluation of algorithms for gene regulatory network inference
shuang1330/decoupler-py
Python package to infer biological activities from omics data using a collection of methods.
shuang1330/decoupler_visualization
shuang1330/easybuild-easyconfigs
A collection of easyconfig files that describe which software to build using which build options with EasyBuild.
shuang1330/eqtm
shuang1330/eurocat
shuang1330/experiments_for_fun
shuang1330/fertility-prediction-challenge
Fertility prediction challenge
shuang1330/GASPACHO
shuang1330/Goodlookin
whats cookin good lookin
shuang1330/goshifter
GoShifter
shuang1330/gplvm_scrna
Scalable GPLVMs for scRNA
shuang1330/hackathon
shuang1330/intermediatePython
shuang1330/kafka-docker
Dockerfile for Apache Kafka
shuang1330/lime
Lime: Explaining the predictions of any machine learning classifier
shuang1330/lime-experiments
Code for all experiments.
shuang1330/Milo2.0Analysis_2023
Scripts and notebooks to accompany the Milo2.0 manuscript
shuang1330/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
shuang1330/scikit-learn
scikit-learn: machine learning in Python
shuang1330/single-cell-tutorial
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
shuang1330/spark-cassandra-connector
DataStax Spark Cassandra Connector
shuang1330/systemsgenetics
Generic Java genotype reader / writer, QTL mapping software, Strand alignment tool
shuang1330/testChu
shuang1330/wikimediaIMG