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bioconda / packages

Package Name Access Summary Updated
bioconductor-spikein public Affymetrix Spike-In Experiment Data 2024-12-19
bioconductor-makecdfenv public CDF Environment Maker 2024-12-19
bioconductor-panp public Presence-Absence Calls from Negative Strand Matching Probesets 2024-12-19
bioconductor-cardinal public A mass spectrometry imaging toolbox for statistical analysis 2024-12-19
bioconductor-flowtime public Annotation and analysis of biological dynamical systems using flow cytometry 2024-12-19
bioconductor-cghregions public Dimension Reduction for Array CGH Data with Minimal Information Loss. 2024-12-19
r-hemdag public a collection of Hierarchical Ensemble Methods (HEMs) for Directed Acyclic Graphs (DAGs). 2024-12-19
bioconductor-cormotif public Correlation Motif Fit 2024-12-19
bioconductor-cytodx public Robust prediction of clinical outcomes using cytometry data without cell gating 2024-12-19
r-cp4p public Functions to check whether a vector of p-values respects the assumptions of FDR (false discovery rate) control procedures and to compute adjusted p-values. 2024-12-19
bioconductor-affydata public Affymetrix Data for Demonstration Purpose 2024-12-19
r-mutoss public Designed to ease the application and comparison of multiple hypothesis testing procedures for FWER, gFWER, FDR and FDX. Methods are standardized and usable by the accompanying 'mutossGUI'. 2024-12-19
bioconductor-abarray public Microarray QA and statistical data analysis for Applied Biosystems Genome Survey Microrarray (AB1700) gene expression data. 2024-12-19
bioconductor-rain public Rhythmicity Analysis Incorporating Non-parametric Methods 2024-12-19
bioconductor-paircompviz public Multiple comparison test visualization 2024-12-19
bioconductor-biocviews public Categorized views of R package repositories 2024-12-19
bioconductor-a4classif public Automated Affymetrix Array Analysis Classification Package 2024-12-19
bioconductor-stategra public Classes and methods for multi-omics data integration 2024-12-19
bioconductor-aracne.networks public ARACNe-inferred gene networks from TCGA tumor datasets 2024-12-19
bioconductor-curatedbladderdata public Bladder Cancer Gene Expression Analysis 2024-12-19
bioconductor-cghcall public Calling aberrations for array CGH tumor profiles. 2024-12-19
bioconductor-cycle public Significance of periodic expression pattern in time-series data 2024-12-19
bioconductor-flowclean public flowClean 2024-12-18
bioconductor-mspurity public Automated Evaluation of Precursor Ion Purity for Mass Spectrometry Based Fragmentation in Metabolomics 2024-12-18
bioconductor-simat public GC-SIM-MS data processing and alaysis tool 2024-12-18
bioconductor-chimphumanbraindata public Chimp and human brain data package 2024-12-18
bioconductor-consensusclusterplus public ConsensusClusterPlus 2024-12-18
bioconductor-diggitdata public Example data for the diggit package 2024-12-18
bioconductor-tronco public TRONCO, an R package for TRanslational ONCOlogy 2024-12-18
bioconductor-flowbeads public flowBeads: Analysis of flow bead data 2024-12-18
r-diffcorr public A method for identifying pattern changes between 2 experimental conditions in correlation networks (e.g., gene co-expression networks), which builds on a commonly used association measure, such as Pearson's correlation coefficient. This package includes functions to calculate correlation matrices for high-dimensional dataset and to test differential correlation, which means the changes in the correlation relationship among variables (e.g., genes and metabolites) between 2 experimental conditions. 2024-12-18
bioconductor-cll public A Package for CLL Gene Expression Data 2024-12-18
bioconductor-metabomxtr public A package to run mixture models for truncated metabolomics data with normal or lognormal distributions 2024-12-18
r-tidygenomics public Handle genomic data within data frames just as you would with 'GRanges'. This packages provides method to deal with genomic intervals the "tidy-way" which makes it simpler to integrate in the the general data munging process. The API is inspired by the popular 'bedtools' and the genome_join() method from the 'fuzzyjoin' package. 2024-12-18
bioconductor-dirichletmultinomial public Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data 2024-12-18
bioconductor-metaseq public Meta-analysis of RNA-Seq count data in multiple studies 2024-12-18
bioconductor-ampaffyexample public Example of Amplified Data 2024-12-18
bioconductor-turbonorm public A fast scatterplot smoother suitable for microarray normalization 2024-12-18
bioconductor-ruvnormalize public RUV for normalization of expression array data 2024-12-18
bioconductor-ruvcorr public Removal of unwanted variation for gene-gene correlations and related analysis 2024-12-18
bioconductor-tmixclust public Time Series Clustering of Gene Expression with Gaussian Mixed-Effects Models and Smoothing Splines 2024-12-18
bioconductor-gwasdata public Data used in the examples and vignettes of the GWASTools package 2024-12-18
bioconductor-complexheatmap public Make Complex Heatmaps 2024-12-18
bioconductor-derfinderhelper public derfinder helper package 2024-12-18
r-perfmeas public Package that implements different performance measures for classification and ranking tasks. AUC, precision at a given recall, F-score for single and multiple classes are available. 2024-12-18
bioconductor-nethet public A bioconductor package for high-dimensional exploration of biological network heterogeneity 2024-12-18
bioconductor-flowchic public Analyze flow cytometric data using histogram information 2024-12-18
r-imputelcmd public The package contains a collection of functions for left-censored missing data imputation. Left-censoring is a special case of missing not at random (MNAR) mechanism that generates non-responses in proteomics experiments. The package also contains functions to artificially generate peptide/protein expression data (log-transformed) as random draws from a multivariate Gaussian distribution as well as a function to generate missing data (both randomly and non-randomly). For comparison reasons, the package also contains several wrapper functions for the imputation of non-responses that are missing at random. * New functionality has been added: a hybrid method that allows the imputation of missing values in a more complex scenario where the missing data are both MAR and MNAR. 2024-12-18
bioconductor-nucleosim public Generate synthetic nucleosome maps 2024-12-18
bioconductor-scde public Single Cell Differential Expression 2024-12-18

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