R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
digitalDLSorteR
View on CRAN: Click
here
Download and install digitalDLSorteR package within the R console
Install from CRAN:
install.packages("digitalDLSorteR")
Install from Github:
library("remotes")
install_github("cran/digitalDLSorteR") Install by package version:
library("remotes")
install_version("digitalDLSorteR", "1.1.0") Attach the package and use:
library("digitalDLSorteR")
Maintained by
Diego Mañanes
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-10-08
Latest Update:
Description:
Deconvolution of bulk RNA-Seq data using context-specific deconvolution models based on Deep Neural Networks using scRNA-Seq data as input. These models are able to make accurate estimates of the cell composition of bulk RNA-Seq samples from the same context using the advances provided by Deep Learning and the meaningful information provided by scRNA-Seq data. See Torroja and Sanchez-Cabo (2019) for more details.
How to cite:
Diego Mañanes (2021). digitalDLSorteR: Deconvolution of Bulk RNA-Seq Data Based on Deep Learning. R package version 1.1.0, https://cran.r-project.org/web/packages/digitalDLSorteR. Accessed 07 Oct. 2026.
Previous versions and publish date:
Other packages that cited digitalDLSorteR R package
View digitalDLSorteR citation profile
Other R packages that digitalDLSorteR depends,
imports, suggests or enhances
Complete documentation for digitalDLSorteR
Functions, R codes and Examples using
the digitalDLSorteR R package
Some associated functions: DigitalDLSorter-class . DigitalDLSorterDNN-class . ProbMatrixCellTypes-class . ZinbParametersModel-class . barErrorPlot . barPlotCellTypes . blandAltmanLehPlot . bulk.simul . calculateEvalMetrics . cell.names . cell.types . corrExpPredPlot . deconv.data . deconv.results . deconvDigitalDLSorter . deconvDigitalDLSorterObj . digitalDLSorteR . distErrorPlot . estimateZinbwaveParams . features . generateBulkCellMatrix . getProbMatrix . installTFpython . listToDDLS . listToDDLSDNN . loadDeconvData . loadSCProfiles . loadTrainedModelFromH5 . method . model . plotTrainingHistory . plots . preparingToSave . prob.cell.types . prob.matrix . project . saveRDS . saveTrainedModelAsH5 . set.list . set . showProbPlot . simBulkProfiles . simSCProfiles . single.cell.real . single.cell.simul . test.deconv.metrics . test.metrics . test.pred . trainDigitalDLSorterModel . trained.model . training.history . zinb.params . zinbwave.model .
Some associated R codes: AllClasses.R . AllGenerics.R . digitalDLSorteR.R . dnnModel.R . evalMetrics.R . loadData.R . simBulk.R . simSingleCell.R . utils.R . Full digitalDLSorteR package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
PairedData
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Stephane Champely (view profile)
splm
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Giovanni Millo (view profile)
blandr
Carries out Bland Altman analyses (also known as a Tukey
mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Deepankar Datta (view profile)
ggTimeSeries
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Aditya Kothari (view profile)
plaqr
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Adam Maidman (view profile)
nextGenShinyApps
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
28,905
R Packages
247,686
Dependencies
76,495
Author Associations
28,906
Publication Badges
