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Data used by the barcode package for microarrays of type hgu133plus2.
This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was HT\_HG-U133A\_probe\_tab.
Provide functions for retrieving, exploratory analyzing and visualizing the Human Protein Atlas data. HPAanalyze is designed to fullfill 3 main tasks: (1) Import, subsetting and export downloadable datasets; (2) Visualization of downloadable datasets for exploratory analysis; and (3) Working with the individual XML files. This package aims to serve researchers with little programming experience, but also allow power users to use the imported data as desired.
An R Package for Geneset Enrichment Workflows.
Agilent Human 2 cDNA Microarry Kit annotation data (chip hgug4101a) assembled using data from public repositories.
Package with metadata for genotyping Illumina 610kQuad arrays using the crlmm package.
Codelink Human Inflammation 16 Bioarray annotation data (chip hi16cod) assembled using data from public repositories.
HiContacts provides a collection of tools to analyse and visualize Hi-C datasets imported in R by HiCExperiment.
Affymetrix Affymetrix Hu35KsubA Array annotation data (chip hu35ksuba) assembled using data from public repositories.
Characterization of intra-individual variability using physiologically relevant measurements provides important insights into fundamental biological questions ranging from cell type identity to tumor development. For each individual, the data measurements can be written as a matrix with the different subsamples of the individual recorded in the columns and the different phenotypic units recorded in the rows. Datasets of this type are called high-dimensional transposable data. The HDTD package provides functions for conducting statistical inference for the mean relationship between the row and column variables and for the covariance structure within and between the row and column variables.
This package provides a package containing an environment representing the HG-Focus.CDF file.
This package provides a package containing an environment representing the HIV PRTPlus 2.CDF file.
Affymetrix time course experiment on human stem cells (two time points: undifferentiated and differentiated).
This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was HT\_MG-430\_PM\_probe\_tab.
This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was Hu6800\_probe\_tab.
Package with metadata for genotyping Illumina CytoSNP 12 arrays using the crlmm package.
Unknown annotation data (chip hgubeta7) assembled using data from public repositories.
This package was automatically created by package AnnotationForge version 1.7.17. The exon-level probeset genome location was retrieved from Netaffx using AffyCompatible.
This is an ExperimentHub Data package that helps to access the spatially-resolved transcriptomics and single-nucleus RNA sequencing data. The datasets are generated from adjacent tissue sections of the anterior human hippocampus across ten adult neurotypical donors. The datasets are based on [spatial_hpc](https://github.com/LieberInstitute/spatial_hpc) project by Lieber Institute for Brain Development (LIBD) researchers and collaborators.
This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was HG-U133A\_probe\_tab.
Affymetrix Affymetrix HC_G110 Array annotation data (chip hcg110) assembled using data from public repositories.
This package was automatically created by package AnnotationForge version 1.11.21. The probe sequence data was obtained from http://www.affymetrix.com. The file name was HT\_HG-U133\_Plus\_PM\_probe\_tab.
The package contains a modular pipeline for analysis of HELP microarray data, and includes graphical and mathematical tools with more general applications.
HiCDOC normalizes intrachromosomal Hi-C matrices, uses unsupervised learning to predict A/B compartments from multiple replicates, and detects significant compartment changes between experiment conditions. It provides a collection of functions assembled into a pipeline to filter and normalize the data, predict the compartments and visualize the results. It accepts several type of data: tabular `.tsv` files, Cooler `.cool` or `.mcool` files, Juicer `.hic` files or HiC-Pro `.matrix` and `.bed` files.