geneexpression

There are 0 repository under geneexpression topic.

• benfulcher / mouseGradients

  Code to reproduce analyses of mouse cortical gradients

  geneexpressionneurosciencemouse
  Language:MATLAB 9

• cparsania / FungiExpresZ

  An R-shiny package to analyse and visualise fungal gene expression data

  rpackageshinyappdatavisualizationgeneexpressionfungisra-datavisualizationsvisualization
  Language:R 9

• benfulcher / AllenSDK

  Workflow for retrieving spatial gene-expression data from the Allen Institute's Mouse Brain Atlas

  geneexpressionbioinformaticstranscriptomics
  Language:MATLAB 5

• havelhakimi / gene-expression

  Agglomerative based clustering on gene expression dataset

  agglomerative-clusteringclusteringgeneexpressionhierarchical-clusteringrna-sequnsupervised-machine-learning
  Language:Jupyter Notebook 4

• romunov / peep

  Fit your oversized data.frame to your console width.

  rdataframeprintinggeneexpression
  Language:R 4

• nikitasigal / biclustlib

  A biclustering library with datasets, evaluation measures and a benchmarking framework

  biclusteringgeneexpression
  Language:Python 3

• NKI-GCF / gensum

  RNA-seq reads to gene counts

  rnaseqgeneexpression
  Language:Rust 3

• rahul-root07 / Cancer-classification-TCGA

  The Cancer Genome Atlas datbase | Cancer Classification | Deep Learning | CNN

  tcgaclassificationpancancergeneexpressionmachinemachine-learningdeep-learningtranscriptomecancergene
  Language:Jupyter Notebook 3

• LoaloaF / DPre

  DPre is a bioinformatic tool that enables the user to explore cell type conversion/ differentiation experiments. DPre may take the expression or the differentially regulated genes of the samples to rate transcriptional similarity with a reference dataset, the targets.

  bioinformaticsdataminingvisualizationgeneexpression
  Language:Python 2

• mitumh3 / GEO-dataprocess-streamlit

  An interactive Streamlit app for processing and visualizing GEO data from NCBI's Gene Expression Omnibus.

  data-analysisdata-visualizationgeneexpressiongeoheatmapinteractivepcarna-seqstreamlit
  Language:Python 2

• atsumiando / RNAseq_figure_plotter_python

  Require one command line! Generate nine common RNAseq figures from RNAseq result table by python.

  rna-seqgenegeneexpressionpythonseabornboxbardotdensityheatmaphistogramscatterlineviolinplotmatlabpandas-dataframe
  Language:Python 1

• DanishAslam7 / GenExp

  This is the R code to extract Gene Expression Profiles of particular genes from GEO (Gene Expression Omnibus) datasets.

  expressiongenegeneexpressiongeoprofilesprogramming-language
  Language:R 1

• georgeluan49 / Gaston-Day-Dry-Lab-2020

  geneexpressionmichaelis-mentenigskudzu
  Language:MATLAB 1

• kalyaniuniversity / mgx-datasets

  A list of publicly available Microarray Gene Expression datasets with proper attribution and associated toolkits.

  datasetsdatasciencemicroarraymicroarray-data-analysisgeneexpressionncbincbi-databasencbi-geopythonpreprocessingpreprocess-dataset
  Language:Python 1

• krause-lab / predictsamplesize

  Predict the samplesizes for certain errorrates for statistical classifiers

  machine-learningrgeneexpression
  Language:R 1

• AGarciaMora / CocoTF

  CocoTF: a workflow to identify context specific co-occurring TF motifs using bedtools, Homer and R packages.

  bioinformatics-scriptsenhancersgeneexpressiontranscriptionfactors
  Language:Shell 0

• atsumiando / RNAseq_figure_plotter

  Require just one command line! Generate nine common plots from RNAseq result table by R.

  rna-seqgenegeneexpressionrplot-in-rggplot2pheatmapbarboxdensitydothistogramheatmaplinescatterviolin
  Language:R 0

• dBenedek / MetabolicExpressR

  Metabolic subtyping of tumors from gene expression data

  cancergeneexpressiongsvametabolism
  Language:HTML 0
• Gene_Expression_Analysis

  Hazperera / Gene_Expression_Analysis

  Differential expression analysis using R :dna:

  rtranscriptomicsmicroarray-datageneexpression
  Language:R 0

• igarcia17 / zebraFishTranscriptome

  Shiny app that recopilates all gene expression of zebra fish and informs about the tissue and developmental stage in which the gene is expressed.

  zebrafishtranscriptomegeneexpressionshiny-r
  Language:R 0

• MeghanaDutta / Smokers_Gene_Expression_Analysis_Workflow

  A workflow to understand the changes in expression levels of epithelial cells in smokers.

  geneexpressionhierarchical-clusteringlinear-discriminant-analysiswelch-t-testbenjamini-hochberg-method
  Language:R 0

• smruthishree / GenePlotter-A-dashboard-for-visualizing-gene-expression-in-various-datasets

  data-visualizationggplot2rshinygenegeneexpressionrna-seq-analysis
  Language:R 0

• thisisyichenzhang / COMET

  Implementation code for evaluating COMET approach on various simulation datasets

  epigeneticsgeneexpressionnetwork
  Language:MATLAB 0

• ashleyzhou972 / MRF

  migrated from Gitlab

  markovrandomfieldhicgeneexpression
  Language:C

• Fattigman / SRIQ

  Implementation of SRIQ clustering

  clusteringpipelinegeneexpression
  Language:Jupyter Notebook

• Hazperera / haz-Msc-IMIDIA_GE

  PCA: Exploring transcriptome-wide changes using python (pandas/scikit-learn/matplotlib) :dna: :computer: :woman_scientist: :desktop_computer:

  pcatranscriptomicsgeneexpressionscikit-learnpandaspython3
  Language:Jupyter Notebook

• Qaswara98 / Thesis_PCA_vs_AE

  This project is a comparative study of Autoencoder (AE) and Principal Component Analysis (PCA) for dimensionality reduction in gene expression data. It aims to understand the unique capabilities and applications of both methods in handling high-dimensional biological data.

  aeautoencodersbioinformaticsbioinformatics-tooldimensionality-reductiongeneexpressionmachine-learningpcaautoencodervspca
  Language:Jupyter Notebook

• silviozambonunitn / OneGenE_FANTOM

  Repository of my internship in the RDDS lab of the University of Trento

  bioinformaticsgeneexpression
  Language:C++