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bayesspace

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

baynorm

Normalization for single cell RNA-seq data

baynorm_papercode

code for producing figures in bayNorm

baynormjl.jl

bayNorm in Julia.

bb

:exclamation: This is a read-only mirror of the CRAN R package repository. BB — Solving and Optimizing Large-Scale Nonlinear Systems. Homepage: <U+000a>http://www.jhsph.edu/agingandhealth/People/Faculty_personal_pages/Varadhan.html

bpsc

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

cellbench_data

This contains the dataset for comparing scRNA-seq analysis methods

cellchat

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

code_request

General R functions and scripts for publications

conv_arithmetic

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

csama

Course material for CSAMA: Statistical Data Analysis for Genome Scale Biology

datadive_scrnaseq_mapping

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

dca

Deep count autoencoder for denoising scRNA-seq data

dl-notes

examples

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

julia_abc

libpku

贵校课程资料民间整理

maldirppa

Robust pre-processing of MALDI mass spectrometry data plus extra functionalities for data summaries and management.

mapcloud

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

ms_submission

ncov2019

nnrna

one2one

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

pattern_prediction_nn_shangying

Use LSTM neural network for 1D distributional data prediction

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

raw_data

scmodels

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

scrna.seq.course

Analysis of single cell RNA-seq data course, Cambridge University, UK

scrnaseq-analysis-notes

my scRNAseq analysis notes

seq_tung2017

Learn how to do alignment using sequence datasets from Tung 2017