Topic: single-cell-omics Goto Github
Some thing interesting about single-cell-omics
Some thing interesting about single-cell-omics
single-cell-omics,As part of the IEE Healthcare Summit Data Hackathon(2022) Challenge designed a classification model to predict severity of COVID-19 infection from scRNA-seq data.
User: agnirs
single-cell-omics,Factorial latent dynamic models trained on Markovian simulations of biological processes using single cell RNA sequencing data.
User: aron0093
single-cell-omics,Github repository for nanoSPLITS manuscript data and R scripts
User: cajun-data
single-cell-omics,The software of Pamona, a partial manifold alignment algorithm.
User: caokai1073
single-cell-omics,Website for the fibroblast clonality project conducted at EMBL-EBI and the Wellcome Sanger Institute ca 2017-2019.
User: davismcc
Home Page: https://davismcc.github.io/fibroblast-clonality
single-cell-omics,Cell cluster Analysis with Variational Autoencoder using Conditional Hierarchy Of latent representioN
User: dn070017
single-cell-omics,Simulating single-cell data using gene regulatory networks 📠
Organization: dynverse
Home Page: https://dyngen.dynverse.org
single-cell-omics,Inferring, interpreting and visualising trajectories using a streamlined set of packages 🦕
Organization: dynverse
Home Page: https://dynverse.github.io/dyno
single-cell-omics,A set of tools supporting the development, execution, and benchmarking of trajectory inference methods. 🌍
Organization: dynverse
Home Page: http://dynverse.org
single-cell-omics,Source code for the At-Risk RA work
Organization: fanzhanglab
Home Page: https://github.com/fanzhanglab/AtRiskRA_CyTOF
single-cell-omics,Code for Jonsson*, Zhang*, et al, TteK (Granzyme K+ CD8 T cells), Science Translational Medicine, 2022: the core population of inflamed human tissue-associated CD8 T cells.
Organization: fanzhanglab
Home Page: https://github.com/fanzhanglab/TteK
single-cell-omics,Custom codes for Flysta3D paper.
User: flysta3d
Home Page: https://db.cngb.org/stomics/flysta3d/
single-cell-omics,Papers with code for single cell related papers
User: genecell
single-cell-omics,(NOTE: This is a development fork, please refer to official repo at statgen: https://github.com/statgen/popscle) Freemuxlet methods and auxilary tools
User: griffan
single-cell-omics,A Julia package for single cell and spatial data analysis
User: haojiawu
single-cell-omics,Repository for projects in Single Cell
User: harsheen98
single-cell-omics,RNA velocity is a high-dimensional vector that predicts the future state of individual cells on a timescale of hours.
User: hubinem
single-cell-omics,resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially using single-cell RNA sequencing. In principle it can be used with any hierarchically structured data though, so feel free to play around with it.
User: lab-conrad
single-cell-omics,Biology-driven deep generative model for cell-type annotation in cytometry. Scyan is an interpretable model that also corrects batch-effect and can be used for debarcoding or population discovery.
Organization: mics-lab
Home Page: https://mics-lab.github.io/scyan/
single-cell-omics,Collection of computational tools for cell-cell communication inference for single-cell and spatially resolved omics
User: multitalk
single-cell-omics,Find causal cell-types underlying complex trait genetics
Organization: neurogenomics
Home Page: https://neurogenomics.github.io/MAGMA_Celltyping
single-cell-omics,Pipeline to generate Molecular Pixelation data with Pixelator (Pixelgen Technologies AB)
Organization: nf-core
Home Page: https://nf-co.re/pixelator
single-cell-omics,One single-cell pipeline to rule them all, one pipeline to find them, one pipeline to unify them all, and with the data bind them.
Organization: openomics
Home Page: https://openomics.github.io/cell-seek/
single-cell-omics,An unofficial demultiplexing strategy for SPLiT-seq RNA-Seq data
User: paulranum11
single-cell-omics,A command-line tool and library to process and analyze sequencing data from Molecular Pixelation (MPX) assays.
Organization: pixelgentechnologies
Home Page: https://pixelgen.com
single-cell-omics,Papers and Tools that would guide your journey in Computational Biochemistry
User: poloarol
single-cell-omics,Computational Biologist and Machine Learning Enthusiast
User: poloarol
single-cell-omics,A R Shiny App for single-cell analysis
User: poloarol
single-cell-omics,BANKSY: spatial clustering
User: prabhakarlab
Home Page: https://prabhakarlab.github.io/Banksy
single-cell-omics,A Library for Denoising Single-Cell Data with Random Matrix Theory
Organization: rabadanlab
single-cell-omics,Single-Cell Data Science
User: rahulbhadani
single-cell-omics,Guide and links related to bulk and single-cell RNA-Seq experiments.
User: royfrancis
Home Page: http://www.royfrancis.com/seqhub/
single-cell-omics,NicheNet: predict active ligand-target links between interacting cells
Organization: saeyslab
single-cell-omics,LIANA x Tensor-cell2cell Protocols
Organization: saezlab
Home Page: https://ccc-protocols.readthedocs.io
single-cell-omics,It contains the functional code to analyze P2 scRNA-seq and scATAC-seq data.
User: shuzwang
single-cell-omics,QuantQC is a package for quality control (QC) of single-cell proteomics data. It is optimized to work with nPOP, a method for massively parallel sample preparation on glass slides.
Organization: slavovlab
Home Page: https://scp.slavovlab.net/QuantQC
single-cell-omics,A suite of population scale analysis tools for single-cell genomics data including implementation of Demuxlet / Freemuxlet methods and auxilary tools
Organization: statgen
Home Page: https://github.com/statgen/popscle/wiki
single-cell-omics,Multiplexed droplet scRNA-seq Kang et al Nat Biotechnol 2018
User: suhassrinivasan
single-cell-omics,Pytorch implementation of "Multi-domain translation between single-cell imaging and sequencing data using autoencoders" (https://www.nature.com/articles/s41467-020-20249-2) with custom models.
User: talipucar
single-cell-omics,Code and results from TotalSeqC antibody titration and pipeline benchmarking for CITE-seq experiments
User: terkild
single-cell-omics,R Shiny app for Vitessce, an integrative and interactive data visualization tool for exploration of spatial single-cell experiments.
User: th789
Home Page: https://gehlenborglab.shinyapps.io/vitessce-shiny/
single-cell-omics,Python code for cross-condition label refinement in single-cell data with HiDDEN
User: tudaga
Home Page: https://doi.org/10.1101/2023.01.06.523013
single-cell-omics,Documentation analysis and manuscript figures
User: vanbuggenum
Home Page: https://vanbuggenum.github.io/Multimodal-Plasmacell_manuscript
single-cell-omics,Documentation analysis and manuscript figures of QuRIE-seq methods paper.
User: vanbuggenum
Home Page: https://vanbuggenum.github.io/QuRIE-seq_manuscript/
single-cell-omics,Material for Bioconductor 2023 workshop on interoperation with python
User: vjcitn
Home Page: https://vjcitn.github.io/BiocPyInterop/
single-cell-omics,R Package for Single-Cell Dataset Processing and Visualization
User: xmc811
single-cell-omics,Analysis code for the clue framework paper: efficient pooled single-cell sequencing without reference genotypes.
Organization: yelabucsf
Home Page: https://www.biorxiv.org/content/10.1101/2023.05.29.542756v2
single-cell-omics,A Lightweight & Versatile Visualization Tool for Spatial-Omics Data
User: yezhenqing
Home Page: https://yezhenqing.github.io/spatial-live/
single-cell-omics,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/
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