KnowSeq

DOI:10.18129/B9.bioc.KnowSeq

KnowSeq R/Bioc package: Beyond the traditional Transcriptomic pipeline

Bioconductor version: Release (3.12)

KnowSeq proposes a novel methodology that comprises the most relevant steps in the Transcriptomic gene expression analysis. KnowSeq expects to serve as an integrative tool that allows to process and extract relevant biomarkers, as well as to assess them through a Machine Learning approaches. Finally, the last objective of KnowSeq is the biological knowledge extraction from the biomarkers (Gene Ontology enrichment, Pathway listing and Visualization and Evidences related to the addressed disease). Although the package allows analyzing all the data manually, the main strenght of KnowSeq is the possibilty of carrying out an automatic and intelligent HTML report that collect all the involved steps in one document. It is important to highligh that the pipeline is totally modular and flexible, hence it can be started from whichever of the different steps. KnowSeq expects to serve as a novel tool to help to the experts in the field to acquire robust knowledge and conclusions for the data and diseases to study.

Author: Daniel Castillo-Secilla, Juan Manuel Galvez, Francisco Carrillo-Perez, Marta Verona-Almeida, Daniel Redondo-Sanchez, Francisco Manuel Ortuno, Luis Javier Herrera and Ignacio Rojas.

Maintainer: Daniel Castillo-Secilla

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("KnowSeq")

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("KnowSeq")

HTML	R Script	The KnowSeq users guide
PDF		Reference Manual
Text		NEWS

Details

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Version	1.4.2
In Bioconductor since	BioC 3.10 (R-3.6) (1.5 years)
License	GPL (>=2)
Depends	R (>= 4.0),cqn(>= 1.28.1)
Imports	stringr,ggplot2(>= 3.3.0),jsonlite,kernlab,rlist,rmarkdown,reshape2,e1071,randomForest,caret,XML,praznik,R.utils,httr,sva(>= 3.30.1),edgeR(>= 3.24.3),limma(>= 3.38.3), grDevices, graphics, stats, utils,Hmisc(>= 4.4.0),gridExtra
LinkingTo
Suggests	knitr
SystemRequirements
Enhances
URL
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	KnowSeq_1.4.2.tar.gz
Windows Binary	KnowSeq_1.4.2.zip
macOS 10.13 (High Sierra)	KnowSeq_1.4.2.tgz
Source Repository	git clone https://git.bioconductor.org/packages/KnowSeq
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/KnowSeq
Package Short Url	//www.andersvercelli.com/packages/KnowSeq/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.12	Source Archive