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This package provides a package built under the Bayesian framework of applying hierarchical latent Dirichlet allocation. It statistically tests whether the mutational exposures of mutational signatures (Shiraishi-model signatures) are different between two groups. The package also provides inference and visualization.
This package provides a package containing an environment representing the HT_Rat-Focus.cdf file.
Affymetrix hugene20 annotation data (chip hugene20sttranscriptcluster) assembled using data from public repositories.
Affymetrix time course experiment on human stem cells (two time points: undifferentiated and differentiated).
This package contains the processed harmonized TCGA data of five cancer types used in "Tianle Ma and Aidong Zhang, Integrate Multi-omic Data Using Affinity Network Fusion (ANF) for Cancer Patient Clustering".
Affymetrix Affymetrix Hu35KsubB Array annotation data (chip hu35ksubb) 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 HuGene-1\_0-st-v1\_probe\_tab.
This package provides a package containing an environment representing the Hu35KsubA.CDF file.
Annotation data file for hgu2beta7 assembled using data from public data repositories.
Package with metadata for genotyping Illumina Omni5 Quad arrays using the crlmm package.
This package provides classes and functions for quality control, filtering, normalization and differential expression analysis of pre-processed `RNA-seq` data. Data can be imported from `SummarizedExperiment` as well as `matrix` objects and can be annotated from `BioMart`. Filtering for genes without too low expression or containing required annotations, as well as filtering for samples with sufficient correlation to other samples or total number of reads is supported. The standard normalization methods including cpm, rpkm and tpm can be used, and DESeq2` as well as voom differential expression analyses are available.
Affymetrix Affymetrix HC_G110 Array annotation data (chip hcg110) assembled using data from public repositories.
This package provides a package containing an environment representing the HGU133Plus2_Hs_Hspec.cdf file.
This package provides a package containing an environment representing the HIV PRTPlus 2.CDF file.
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.
This package contains the experimental data and a complete executable transcript (vignette) of the analysis of the HCT116 genetic interaction matrix presented in the paper "Mapping genetic interactions in human cancer cells with RNAi and multiparametric phenotyping" by C. Laufer, B. Fischer, M. Billmann, W. Huber, M. Boutros; Nature Methods (2013) 10:427-31. doi: 10.1038/nmeth.2436.
This package provides a package containing an environment representing the Hu35KsubC.CDF file.
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.
This package provides a package containing an environment representing the HG-U133A_2.cdf file.
Imputes HLA classical alleles using GWAS SNP data, and it relies on a training set of HLA and SNP genotypes. HIBAG can be used by researchers with published parameter estimates instead of requiring access to large training sample datasets. It combines the concepts of attribute bagging, an ensemble classifier method, with haplotype inference for SNPs and HLA types. Attribute bagging is a technique which improves the accuracy and stability of classifier ensembles using bootstrap aggregating and random variable selection.
This package provides a package containing an environment representing the Hu6800subC.CDF file.
This package was created by frmaTools version 1.9.2.
Unknown annotation data (chip hguDKFZ31) 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\_Rat230\_PM\_probe\_tab.