bioconductor-rtnsurvival
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public |
Survival analysis using transcriptional networks inferred by the RTN package
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2024-12-27 |
phabox
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public |
Virus identification and analysis tool set
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2024-12-27 |
bioconductor-coseq
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public |
Co-Expression Analysis of Sequencing Data
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2024-12-27 |
bioconductor-isomirs
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public |
Analyze isomiRs and miRNAs from small RNA-seq
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2024-12-27 |
r-xcell
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public |
Estimate immune cell proportions from gene expression data
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2024-12-27 |
bioconductor-slingshot
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public |
Tools for ordering single-cell sequencing
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2024-12-27 |
bioconductor-oppar
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public |
Outlier profile and pathway analysis in R
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2024-12-27 |
bioconductor-tscan
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public |
Tools for Single-Cell Analysis
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2024-12-27 |
bioconductor-cbea
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public |
Competitive Balances for Taxonomic Enrichment Analysis in R
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2024-12-27 |
bioconductor-gsva
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public |
Gene Set Variation Analysis for Microarray and RNA-Seq Data
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2024-12-27 |
bioconductor-plsdabatch
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public |
PLSDA-batch
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2024-12-27 |
bioconductor-miasim
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public |
Microbiome Data Simulation
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2024-12-27 |
bioconductor-treeclimbr
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public |
An algorithm to find optimal signal levels in a tree
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2024-12-27 |
bioconductor-microstasis
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public |
Microbiota STability ASsessment via Iterative cluStering
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2024-12-27 |
bioconductor-gsean
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public |
Gene Set Enrichment Analysis with Networks
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2024-12-27 |
bioconductor-celaref
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public |
Single-cell RNAseq cell cluster labelling by reference
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2024-12-27 |
bioconductor-powsc
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public |
Simulation, power evaluation, and sample size recommendation for single cell RNA-seq
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2024-12-27 |
bioconductor-opossom
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public |
Comprehensive analysis of transcriptome data
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2024-12-27 |
r-scopfunctions
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public |
An R package of functions for single cell -omics analysis.
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2024-12-27 |
r-dwls
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public |
Deconvolution of bulk mRNA data using single-cell RNAseq to provide cell type specific signatures
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2024-12-27 |
bioconductor-iseehex
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public |
iSEE extension for summarising data points in hexagonal bins
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2024-12-27 |
bioconductor-iseepathways
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public |
iSEE extension for panels related to pathway analysis
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2024-12-27 |
bioconductor-cnordt
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public |
Add-on to CellNOptR: Discretized time treatments
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2024-12-27 |
bioconductor-iseede
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public |
iSEE extension for panels related to differential expression analysis
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2024-12-27 |
bioconductor-cnorfuzzy
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public |
Addon to CellNOptR: Fuzzy Logic
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2024-12-27 |
bioconductor-spectraltad
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public |
SpectralTAD: Hierarchical TAD detection using spectral clustering
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2024-12-27 |
bioconductor-cnorode
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public |
ODE add-on to CellNOptR
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2024-12-27 |
bioconductor-multihiccompare
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public |
Normalize and detect differences between Hi-C datasets when replicates of each experimental condition are available
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2024-12-27 |
bioconductor-mnem
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public |
Mixture Nested Effects Models
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2024-12-27 |
bioconductor-netresponse
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public |
Functional Network Analysis
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2024-12-27 |
bioconductor-tadcompare
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public |
TADCompare: Identification and characterization of differential TADs
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2024-12-27 |
bioconductor-cellnoptr
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public |
Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data
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2024-12-27 |
bioconductor-hicool
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public |
HiCool
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2024-12-27 |
bioconductor-oncosimulr
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public |
Forward Genetic Simulation of Cancer Progression with Epistasis
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2024-12-27 |
bioconductor-hicontacts
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public |
Analysing cool files in R with HiContacts
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2024-12-27 |
bioconductor-segmentseq
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public |
Methods for identifying small RNA loci from high-throughput sequencing data
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2024-12-27 |
bioconductor-streamer
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public |
Enabling stream processing of large files
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2024-12-27 |
bioconductor-chipsim
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public |
Simulation of ChIP-seq experiments
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2024-12-27 |
bioconductor-rbioinf
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public |
RBioinf
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2024-12-27 |
r-motifbinner
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public |
MotifBinner processes high-throughput sequencing data of an RNA virus population.
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2024-12-27 |
bioconductor-rtreemix
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public |
Rtreemix: Mutagenetic trees mixture models.
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2024-12-27 |
bioconductor-nucler
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public |
Nucleosome positioning package for R
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2024-12-27 |
bioconductor-basecallqc
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public |
Working with Illumina Basecalling and Demultiplexing input and output files
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2024-12-27 |
r-rspectral
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public |
Implements the network clustering algorithm described in Newman (2006) <doi:10.1103/PhysRevE.74.036104>. The complete iterative algorithm comprises of two steps. In the first step, the network is expressed in terms of its leading eigenvalue and eigenvector and recursively partition into two communities. Partitioning occurs if the maximum positive eigenvalue is greater than the tolerance (10e-5) for the current partition, and if it results in a positive contribution to the Modularity. Given an initial separation using the leading eigen step, 'rSpectral' then continues to maximise for the change in Modularity using a fine-tuning step - or variate thereof. The first stage here is to find the node which, when moved from one community to another, gives the maximum change in Modularity. This node’s community is then fixed and we repeat the process until all nodes have been moved. The whole process is repeated from this new state until the change in the Modularity, between the new and old state, is less than the predefined tolerance. A slight variant of the fine-tuning step, which can improve speed of the calculation, is also provided. Instead of moving each node into each community in turn, we only consider moves of neighbouring nodes, found in different communities, to the community of the current node of interest. The two steps process is repeatedly applied to each new community found, subdivided each community into two new communities, until we are unable to find any division that results in a positive change in Modularity.
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2024-12-27 |
bioconductor-otubase
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public |
Provides structure and functions for the analysis of OTU data
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2024-12-27 |
r-wgcna
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public |
Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data as originally described in Horvath and Zhang (2005) <doi:10.2202/1544-6115.1128> and Langfelder and Horvath (2008) <doi:10.1186/1471-2105-9-559>. Includes functions for rudimentary data cleaning, construction of correlation networks, module identification, summarization, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization.
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2024-12-27 |
bioconductor-gosemsim
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public |
GO-terms Semantic Similarity Measures
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2024-12-27 |
bioconductor-batchelor
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public |
Single-Cell Batch Correction Methods
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2024-12-27 |
bioconductor-interactionset
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public |
Base Classes for Storing Genomic Interaction Data
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2024-12-27 |
bioconductor-scran
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public |
Methods for Single-Cell RNA-Seq Data Analysis
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2024-12-27 |