netDx

DOI:10.18129/B9.bioc.netDx

Network-based patient classifier

Bioconductor version: Release (3.16)

netDx is a general-purpose algorithm to build a patient classifier from heterogenous patient data. The method converts data into patient similarity networks at the level of features. Feature selection identifies features of predictive value to each class. Methods are provided for versatile predictor design and performance evaluation using standard measures. netDx natively groups molecular data into pathway-level features and connects with Cytoscape for network visualization of pathway themes. For method details see: Pai et al. (2019). netDx: interpretable patient classification using integrated patient similarity networks. Molecular Systems Biology. 15, e8497

Author: Shraddha Pai [aut, cre], Philipp Weber [aut], Ahmad Shah [aut], Luca Giudice [aut], Shirley Hui [aut], Anne Nøhr [ctb], Indy Ng [ctb], Ruth Isserlin [aut], Hussam Kaka [aut], Gary Bader [aut]

Maintainer: Shraddha Pai

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("netDx")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

查看文档的版本包age installed in your system, start R and enter:

browseVignettes("netDx")

HTML	R Script	01. Build & test classifier with clinical and multi-omic data & pathway features
HTML	R Script	02. Running netDx with data in table format
PDF		Reference Manual
Text		NEWS
Text		LICENSE

Details

biocViews	BiomedicalInformatics,Classification,Network,Software,SystemsBiology
Version	1.9.0
In Bioconductor since	BioC 3.11 (R-4.0) (2.5 years)
License	MIT + fileLICENSE
Depends	R (>= 3.6)
Imports	ROCR,pracma,ggplot2,glmnet,igraph,reshape2, parallel, stats, utils,MultiAssayExperiment, graphics, grDevices, methods,BiocFileCache,GenomicRanges,bigmemory,doParallel,foreach,combinat,rappdirs,GenomeInfoDb,S4Vectors,IRanges,RColorBrewer,Rtsne,httr,plotrix
LinkingTo
Suggests	curatedTCGAData,rmarkdown,testthat,knitr,BiocStyle,RCy3,clusterExperiment,netSmooth,scater
SystemRequirements
Enhances
URL	http://netdx.org
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

Follow2021年欧洲杯比分预测 instructions to use this package in your R session.

Source Package	netDx_1.9.0.tar.gz
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository	git clone https://git.bioconductor.org/packages/netDx
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/netDx
Bioc Package Browser	https://code.bioconductor.org/browse/netDx/
Package Short Url	//www.andersvercelli.com/packages/netDx/
Package Downloads Report	Download Stats