Topic: gene-expression Goto Github
Some thing interesting about gene-expression
Some thing interesting about gene-expression
gene-expression,Convert Counts to Fragments per Kilobase of Transcript per Million (FPKM)
User: aalhendi1707
gene-expression,Fast visualization tool for large-scale and high dimensional single-cell data
Organization: aertslab
gene-expression,This tutorial is created for educational purpose
User: amarinderthind
gene-expression,Differential Gene Correlation Analysis
User: andymckenzie
gene-expression,Spatial alignment of single cell transcriptomic data.
Organization: broadinstitute
gene-expression,Power analysis is essential to optimize the design of RNA-seq experiments and to assess and compare the power to detect differentially expressed genes. PowsimR is a flexible tool to simulate and evaluate differential expression from bulk and especially single-cell RNA-seq data making it suitable for a priori and posterior power analyses.
User: bvieth
Home Page: https://bvieth.github.io/powsimR/
gene-expression,BASiCS: Bayesian Analysis of Single-Cell Sequencing Data. This is an unstable experimental version. Please see http://bioconductor.org/packages/BASiCS/ for the official release version
User: catavallejos
gene-expression,๐ ๐ฃ ๐ฑ Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment
Organization: combine-lab
Home Page: https://combine-lab.github.io/salmon
gene-expression,
Organization: combine-lab
gene-expression,Library of Integrated Cellular Signatures L1000
User: dhimmel
Home Page: https://think-lab.github.io/d/43/
gene-expression,The official code implementation for Chromoformer in PyTorch. (Lee et al., Nature Communications. 2022)
User: dohlee
gene-expression,Evolutionary Transcriptomics with R
Organization: drostlab
Home Page: https://drostlab.github.io/myTAI/
gene-expression,Transcripts annotation and GO enrichment Fisher tests
User: enormandeau
gene-expression,This project aims to predict people who will survive breast cancer using machine learning models with the help of clinical data and gene expression profiles of the patients.
User: ezgisubasi
gene-expression,Python3 binding to mRMR Feature Selection algorithm (currently not maintained)
User: fbrundu
gene-expression,๐ A curated list of software and resources for exploring and visualizing (browsing) expression data ๐
User: federicomarini
gene-expression,Enjoy your transcriptomic data and analysis responsibly - like sipping a cocktail
User: federicomarini
Home Page: https://federicomarini.github.io/GeneTonic
gene-expression,Single cell Nanopore sequencing data for Genotype and Phenotype
Organization: gaolabtools
gene-expression,Repository for the R package EPIC, to Estimate the Proportion of Immune and Cancer cells from bulk gene expression data.
Organization: gfellerlab
Home Page: https://gfellerlab.shinyapps.io/EPIC_1-1/
gene-expression,Data and code related to the paper "ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa..." Jie Tan, et al ยท mSystems ยท 2016
Organization: greenelab
gene-expression,BioBombe: Sequentially compressed gene expression features enhances biological signatures
Organization: greenelab
Home Page: https://greenelab.github.io/BioBombe/
gene-expression,Building classifiers using cancer transcriptomes across 33 different cancer-types
Organization: greenelab
gene-expression,Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously
Organization: greenelab
gene-expression,Training and evaluating a variational autoencoder for pan-cancer gene expression data
Organization: greenelab
gene-expression,R/shiny interface for interactive visualization of data in SummarizedExperiment objects
Organization: isee
Home Page: https://bioconductor.org/packages/iSEE/
gene-expression,Gene Expression Omnibus Analysis with Shiny :microscope:
User: jasdumas
Home Page: http://jasdumas.com/shinyGEO/
gene-expression,characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomics data with nonuniform cellular densities
Organization: jefworks-lab
Home Page: https://jef.works/MERINGUE
gene-expression,One-step to Cluster and Visualize Gene Expression Matrix
User: junjunlab
gene-expression,An R package to plot interactive three-way differential expression analysis
User: katrionagoldmann
Home Page: https://katrionagoldmann.github.io/volcano3D/index.html
gene-expression,This repository contains the tensorflow implementation of "GNE: A deep learning framework for gene network inference by aggregating biological information"
User: kckishan
gene-expression,Bayesian inference of clone-specific gene expression estimates by integrating single-cell RNA-seq and single-cell DNA-seq data
User: kieranrcampbell
gene-expression,Descriptive probabilistic marker gene approach to single-cell pseudotime inference
User: kieranrcampbell
Home Page: http://kieranrcampbell.github.io/ouija
gene-expression,Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
User: lucidrains
gene-expression,A repository with exploration into using transformers to predict DNA โ transcription factor binding
User: lucidrains
gene-expression,Interactive R package to quantify, analyse and visualise alternative splicing
User: nuno-agostinho
Home Page: http://nuno-agostinho.github.io/psichomics/
gene-expression,integrated RNA-seq Analysis Pipeline
User: nunofonseca
gene-expression,Haystack: Epigenetic Variability and Transcription Factor Motifs Analysis Pipeline
Organization: pinellolab
gene-expression,A random-forest-based approach for imputing clustered incomplete data
User: randel
gene-expression,Adversarial generation of gene expression data using Generative Adversarial Networks
User: rvinas
gene-expression,NicheNet: predict active ligand-target links between interacting cells
Organization: saeyslab
gene-expression,R package to access DoRothEA's regulons
Organization: saezlab
Home Page: https://saezlab.github.io/dorothea/
gene-expression,A COBRApy extension for genome-scale models of metabolism and expression (ME-models)
Organization: sbrg
gene-expression,Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
User: seandavi
gene-expression,PECA is a software for inferring context specific gene regulatory network from paired gene expression and chromatin accessibility data
Organization: suwonglab
gene-expression,Differential expression and allelic analysis, nonparametric statistics
Organization: thelovelab
Home Page: https://thelovelab.github.io/fishpond
gene-expression,Deep learning methods for feature selection in gene expression autism data.
User: tlatkowski
gene-expression,GREIN : GEO RNA-seq Experiments Interactive Navigator
Organization: uc-bd2k
Home Page: https://shiny.ilincs.org/grein
gene-expression,Deep learning for gene expression inference
Organization: uci-cbcl
gene-expression,Big data Regression for predicting DNase I hypersensitivity
User: weiqiangzhou
gene-expression,GEDFN: Graph-Embedded Deep Feedforward Network
User: yunchuankong
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