Topic: scrna-seq-analysis Goto Github
Some thing interesting about scrna-seq-analysis
Some thing interesting about scrna-seq-analysis
scrna-seq-analysis,R package that automatically classifies the cells in the scRNA data by segregating non-malignant cells of tumor microenviroment from the malignant cells. It also infers the copy number profile of malignant cells, identifies subclonal structures and analyses the specific and shared alterations of each subpopulation.
User: antoniodefalco
Home Page: https://www.nature.com/articles/s41467-023-36790-9
scrna-seq-analysis,scSPARKL is an Apache spark based pipeline for performing variety of preprocessing and downstream analysis of scRNA-seq data.
User: asif7adil
Home Page: https://github.com/asif7adil/scSPARKL
scrna-seq-analysis,Explore and share your scRNAseq clustering results
Organization: baderlab
Home Page: https://baderlab.github.io/scClustViz/
scrna-seq-analysis,Single-Cell Topological Simplicial Analysis (scTSA)
User: doerlbh
scrna-seq-analysis,Harmony framework for connecting scRNA-seq data from discrete time points
Organization: dpeerlab
scrna-seq-analysis,Single cell trajectory detection
Organization: dpeerlab
Home Page: https://palantir.readthedocs.io
scrna-seq-analysis,This repository stores the scigenex R library.
User: dputhier
scrna-seq-analysis,Statistical quality evaluation of dimensionality reduction algorithms
User: ejohnson643
scrna-seq-analysis,Single cell type annotation guided by cell atlases, with freedom to be queer
Organization: fabilab
Home Page: https://northstar.readthedocs.io/
scrna-seq-analysis,Folded and map strategy and cell perturbation response prediction
User: gcs-zhn
scrna-seq-analysis,Simple implementation of different single cell RNA-seq methods
User: gdagstn
scrna-seq-analysis,Papers with code for single cell related papers
User: genecell
scrna-seq-analysis,Coarse-graining of large single-cell RNA-seq data into metacells
Organization: gfellerlab
scrna-seq-analysis,scRNA analysis of public dataset on bladder cancer
User: hamidghaedi
scrna-seq-analysis,iDA: dimensionality reduction for latent structure discovery
Organization: hcbravolab
scrna-seq-analysis,R package - Analysis of Single Cell Expression, Normalisation and Differential expression (ascend)
Organization: imb-computational-genomics-lab
scrna-seq-analysis,AutoML-based Genetic regulatory Element extrAction System
User: jackssk
scrna-seq-analysis,BITFAM is a Bayesian approach and platform to infer transcription factor activities within individual cells using single cell RNA-sequencing data. Please see Gao S et al., Genome Research (2021) https://genome.cshlp.org/content/31/7/1296 for details.
User: jaleesr
scrna-seq-analysis,A package for reference mapping and nice visualization
User: jarninggau
Home Page: https://jarninggau.github.io/ProjectSVR/
scrna-seq-analysis,Software suite for marker gene identification and cell type integration from single cell RNA-sequencing data
Organization: jcventerinstitute
Home Page: https://jcventerinstitute.github.io/celligrate/
scrna-seq-analysis,Cell type matching in single-cell RNA-sequencing data using FR-Match
Organization: jcventerinstitute
scrna-seq-analysis,The following repository contains code for all scRNAseq analysis and visualization performed in the paper: Single cell resolution analysis of the human pancreatic ductal progenitor cell niche
User: jdblab
scrna-seq-analysis,Granular Functional Filtering (Gruffi) to isolate stressed cells
User: jn-goe
scrna-seq-analysis,scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
User: juexinwang
scrna-seq-analysis,R package for single-cell RNA-sequencing analysis
User: juliendelile
Home Page: https://juliendelile.github.io/Antler
scrna-seq-analysis,Data-driven Network-based Bayesian Inference of Drivers
Organization: jyyulab
Home Page: https://jyyulab.github.io/NetBID/
scrna-seq-analysis,Manipulate scRNA-seq data with GSASD
User: kainan-liu
scrna-seq-analysis,R package: {rfca} Random forest-based cell annotation methods for scRNAseq analysis. {rfca} contains methods which identifies cell types using machine learning trained on a diversity of cell types, without the need for a labelled training dataset. It also allows you to train your own cell prediction models with your own labels (cell type, subtype, cell state, cluster number etc). This package is best suited for researchers who want to annotate their datasets in a quick and unbiased way, phenotype their datasets based on cell identity proportions, and discover common cell states across different datasets and disease models.
User: kimberle9
Home Page: https://kimberle9.github.io/rfca/articles/vignette.html
scrna-seq-analysis,PHet: Heterogeneity-Preserving Discriminative Feature Selection for Subtype Discovery
Organization: kleelab-bch
scrna-seq-analysis,Quantifying experimental perturbations at single cell resolution
Organization: krishnaswamylab
scrna-seq-analysis,orthomap is a python package to extract orthologous maps (in other words the evolutionary age of a given orthologous group) from OrthoFinder/eggNOG results. Orthomap results (gene ages per orthogroup) can be further used to calculate weigthed expression data (transcriptome evolutionary index) from scRNA sequencing objects.
User: kullrich
scrna-seq-analysis,add any phylogenetically based transcriptome evolutionary index (TEI) to single-cell data objects
User: kullrich
scrna-seq-analysis,Recurrent Variational Auto gene encoder
Organization: maclean-lab
scrna-seq-analysis,The Cornell Single-Cell Muscle Project (scMuscle) aims to collect, analyze and provide to the research community skeletal muscle transcriptomic data
User: mckellardw
scrna-seq-analysis,Display gene expression along a given reduced dimension on a heatmap
User: milescsmith
scrna-seq-analysis,Gene expression on C. elegans single cells
User: munfred
Home Page: https://wormcells.com
scrna-seq-analysis,Single-cell analytic toolbox that offers modular workflows for multi-level cellular annotation and user-friendly analysis reports
User: nmikolajewicz
scrna-seq-analysis,An unofficial demultiplexing strategy for SPLiT-seq RNA-Seq data
User: paulranum11
scrna-seq-analysis,A deep learning-based tool for alignment and integration of single cell genomic data across multiple datasets, species, conditions, batches
Organization: quon-titative-biology
scrna-seq-analysis,Binary Factor Analysis: a dimensionality reduction tool for noisy, high throughput single cell genomic data
Organization: quon-titative-biology
scrna-seq-analysis,PyPairs - A python scRNA-Seq classifier
User: rfechtner
Home Page: https://pypairs.rtfd.io
scrna-seq-analysis,scBubbletree: quantitative tool for visual exploration of scRNA-seq data
User: snaketron
scrna-seq-analysis,Novel joint clustering method with scRNA-seq and CITE-seq data
User: tarot0410
scrna-seq-analysis,Reproducible code for the scRNA-seq analyses in the paper 'The neuroendocrine response to stress at single-cell resolution" by Lopez et al. 2020.
Organization: theislab
scrna-seq-analysis,Intercellular communication analysis for scRNA-seq data
Organization: vccri
scrna-seq-analysis,Python pipelines for analysis of adipocyte scRNA-seq data
User: viktormiok
scrna-seq-analysis,Clustering scRNAseq by genotypes
User: wheaton5
scrna-seq-analysis,scRNA analysis pipeline
Organization: wtsi-hgi
scrna-seq-analysis,R package that performs sparse factor analysis and differential gene expression discovery simultaneously on single-cell CRISPR screening data.
Organization: xinhe-lab
Home Page: https://xinhe-lab.github.io/GSFA/
scrna-seq-analysis,An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
User: zhanghao-njmu
Home Page: https://zhanghao-njmu.github.io/SCP/
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.