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) <doi:10.3389/fgene.2019.00978> for more details.
Packaged: 2021-10-19 09:03:53 UTC; diegommcc

Packaged: 2022-03-09 16:12:20 UTC; diegommcc

pbapply, S4Vectors, dplyr, tools, reshape2, gtools, reticulate,
keras, tensorflow, ggplot2, ggpubr, RColorBrewer
Packaged: 2022-05-24 07:41:46 UTC; CNIC\dmananesc

Imports: rlang, Matrix, methods, tidyr, SingleCellExperiment,
SummarizedExperiment, zinbwave, stats, pbapply, S4Vectors,
dplyr, tools, reshape2, gtools, reticulate, keras, tensorflow,
Packaged: 2022-10-05 08:06:08 UTC; CNIC\dmananesc

Title: Estimate copy number for digital PCR
Description: The assay sensitivity is the minimum number of copies that the digital PCR assay can detect. Users provide serial dilution results in the format of counts of positive and total reaction wells. The output is the estimated assay sensitivity and the copy number per well in the initial dilute.

Title: Estimate Copy Number for Digital PCR

Description: Allows to get the data from a graph by providing

Title: Use Data from Published Plots in R
person("Timothée", "Poisot", email =  "tim@poisotlab.io", role  = c("aut")),
person("Rene", "Sachse", email = "rene.sachse@googlemail.com", role = c("aut")),
person("Jaime", "Ashander", email = "jashander@ucdavis.edu", role  = c("aut", "cre")),
person("Tal", "Galili",  email = "tal.galili@gmail.com", role  = c("aut"))
Description: Import data from a digital image; it requires user input for
calibration and to locate the data points. The end result is similar to
'DataThief' and other other programs that 'digitize' published plots or
Imports: graphics, readbitmap (>= 0.1-4)