Wenhao's repositories

bayNorm

Normalization for single cell RNA-seq data

bayNormJL.jl

bayNorm in Julia.

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BayesSpace

Bayesian model for clustering and enhancing the resolution of spatial gene expression experiments.

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BPSC

Beta-Poisson model for single-cell RNA-seq data analyses

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CellChat

R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data

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Code_Request

General R functions and scripts for publications

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conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

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DataDive_scRNAseq_mapping

Imperial Medical Data Dive 2019: code for preparing multiple brain single cell RNA-seq for mapping against each other

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dca

Deep count autoencoder for denoising scRNA-seq data

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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libpku

贵校课程资料民间整理

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mapcloud

10X/SS2/spatial transcriptomics/genotyping internal cloud pipeline

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One2One

This package is used to get 1:1 orthologs based on MGI homology data from http://www.informatics.jax.org/homology.shtml

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pattern_prediction_NN_Shangying

Use LSTM neural network for 1D distributional data prediction

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pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

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scModels

scModels is an R package for distribution fitting of discrete count distributions.

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SEQ_Tung2017

Learn how to do alignment using sequence datasets from Tung 2017

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SPARK

Spatially resolved transcriptomic analysis

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SPATAData

The database for spatially resolved transcriptomics

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st_pipeline

ST Pipeline contains the tools and scripts needed to process and analyze the raw files generated with the Spatial Transcriptomics method in FASTQ format.

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TensorFlow-Course

Simple and ready-to-use tutorials for TensorFlow

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TikZ

Complete collection of my PGF/TikZ figures.

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tumourMassDormancy

This repository contains the code developed for the analysis of tumour mass dormancy, immunological and angiogenic dormancy across cancers from the Cancer Genome Atlas (TCGA).

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VAMPIRE_open

open source version of VAMPIRE analysis : visually-aided morpho-phenotyping recognition

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