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Name: Bakhtiyor Nosirov
Type: User
Company: RIKEN Center Biosystems Dynamics Research Center
Location: Kobe, Japan
Name: Bakhtiyor Nosirov
Type: User
Company: RIKEN Center Biosystems Dynamics Research Center
Location: Kobe, Japan
Brendan's skeleton scRNAseq workflow using scran, Seurat, and scClustViz
SCSA: cell type annotation for single-cell RNA-seq data
Deep generative modeling for single-cell transcriptomics
Community-provided extensions to Seurat
Gene Expression Omnibus Analysis with Shiny :microscope:
Implementations in both Matlab and R of the SIMLR method. The manuscript of the method is available at: https://www.nature.com/articles/nmeth.4207
A guide for analyzing single-cell RNA-seq data using the R package Seurat. Go from raw data to cell clustering, identifying cell types, custom visualizations, and group-wise analysis of tumor infiltrating immune cells using data from Ishizuka et al. Nature 2019.
Breast Cancer Single Cell Atlas
Finding surprising needles (=genes) in haystacks (=single cell transcriptome data).
Differential analysis of RNA-Seq
Single Nucleus Analysis Pipeline for ATAC-seq
A module for working with snap files in Python
:exclamation: This is a read-only mirror of the CRAN R package repository. SparseDC — Implementation of SparseDC Algorithm
Deep network that performs spectral clustering
RNA-seq aligner
Algorithm for the inference of cell types and lineage trees from single-cell RNA-seq data.
SUPPA2: Fast quantification of differential splicing
Inference of switch-like differential expression along single-cell trajectories
Pure Java implementation of Van Der Maaten and Hinton's t-sne clustering algorithm
A tutorial on the t-SNE learning algorithm
RNA-seq data analysis practical
Pipelines for the analysis of 10x single-cell RNA-sequencing data
A small example pipeline used to test new nf-core infrastructure and common code.
tflearn implementation of variational autoencoder
Python package with helper tools for the nf-core community.
TPMCalculator quantifies mRNA abundance directly from the alignments by parsing BAM files
Calculate the TSE score to predict response to ICIs
A python wrapper for Barnes-Hut tsne
Training and evaluating a variational autoencoder for pan-cancer gene expression data
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.