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cran
synchronicity:Boost Mutex Functionality in R
Boost mutex functionality in R.
Maintained by Michael J. Kane. Last updated 1 years ago.
29.4 match 2.64 score 2 dependents
bioc
TRONCO:TRONCO, an R package for TRanslational ONCOlogy
The TRONCO (TRanslational ONCOlogy) R package collects algorithms to infer progression models via the approach of Suppes-Bayes Causal Network, both from an ensemble of tumors (cross-sectional samples) and within an individual patient (multi-region or single-cell samples). The package provides parallel implementation of algorithms that process binary matrices where each row represents a tumor sample and each column a single-nucleotide or a structural variant driving the progression; a 0/1 value models the absence/presence of that alteration in the sample. The tool can import data from plain, MAF or GISTIC format files, and can fetch it from the cBioPortal for cancer genomics. Functions for data manipulation and visualization are provided, as well as functions to import/export such data to other bioinformatics tools for, e.g, clustering or detection of mutually exclusive alterations. Inferred models can be visualized and tested for their confidence via bootstrap and cross-validation. TRONCO is used for the implementation of the Pipeline for Cancer Inference (PICNIC).
Maintained by Luca De Sano. Last updated 5 months ago.
biomedicalinformaticsbayesiangraphandnetworksomaticmutationnetworkinferencenetworkclusteringdataimportsinglecellimmunooncologyalgorithmscancer-inferencetumors
8.5 match 30 stars 6.50 score 38 scripts
jferrer-b
Rediscover:Identify Mutually Exclusive Mutations
An optimized method for identifying mutually exclusive genomic events. Its main contribution is a statistical analysis based on the Poisson-Binomial distribution that takes into account that some samples are more mutated than others. See [Canisius, Sander, John WM Martens, and Lodewyk FA Wessels. (2016) "A novel independence test for somatic alterations in cancer shows that biology drives mutual exclusivity but chance explains most co-occurrence." Genome biology 17.1 : 1-17. <doi:10.1186/s13059-016-1114-x>]. The mutations matrices are sparse matrices. The method developed takes advantage of the advantages of this type of matrix to save time and computing resources.
Maintained by Juan A. Ferrer-Bonsoms. Last updated 2 years ago.
11.0 match 2.70 score 7 scriptscran
biganalytics:Utilities for 'big.matrix' Objects from Package 'bigmemory'
Extend the 'bigmemory' package with various analytics. Functions 'bigkmeans' and 'binit' may also be used with native R objects. For 'tapply'-like functions, the bigtabulate package may also be helpful. For linear algebra support, see 'bigalgebra'. For mutex (locking) support for advanced shared-memory usage, see 'synchronicity'.
Maintained by Michael J. Kane. Last updated 12 months ago.
0.5 match 1 stars 3.37 score 196 scripts 4 dependents