Methods for Quantitative Magnetic Resonance Imaging (qMRI)

R (>= 3.5), awsMethods (>= 1.0), methods
Implementation of methods for estimation of quantitative maps
from Multi-Parameter Mapping (MPM) acquisitions (Weiskopf et al. (2013)
<doi:10.3389/fnins.2013.00095>) including adaptive
smoothing methods in the framework of the ESTATICS model
(Estimating the apparent transverse relaxation time (R2*) from images with
different contrasts, Weiskopf et al. (2014) <doi:10.3389/fnins.2014.00278>).
The smoothing method is described in Mohammadi et al. (2017).
<doi:10.20347/WIAS.PREPRINT.2432>. Usage of the package is also described in
Polzehl and Tabelow (2019),
Magnetic Resonance Brain Imaging, Chapter 6, Springer, Use R! Series.
<doi:10.1007/978-3-030-29184-6_6>.

oro.nifti (>= 0.9), stringr, aws (>= 2.4), adimpro (>= 0.9)
This package is Copyright (C) 2015-2020 Weierstrass
Institute for Applied Analysis and Stochastics.

use 2^ddCT methods calculate the relative gene expression,
data file can be export from bio-rad qpcr machine, the results
can be plot with errorbar.

use 2^ddCT methods calculate the relative gene expression,
data file can be export from bio-rad qpcr machine, the results
can be plot with errorbar. ver 1.1 add GroupPlot function, can
plot all the groups once.

person('Xiang', 'LI', email = 'lixiang117423@gmail.com', role = c('cre', 'aut'))
qPCR is a widely used method to detect the expression level of genes in
biological research. A crucial step in processing qPCR data is to calculate
the amplification efficiency of genes to determine which method should be used
to calculate expression level of genes. This Package can do it easily.
In addition to that, this package can calculate the expression level of genes
based on three methods.
broom, data.table, dplyr, ggplot2, ggpmisc, ggthemes,
magrittr, multcomp, readxl, reshape2, rstatix, sjmisc, stringr,
tibble, tidyr, xlsx

RT-qPCR is a widely used method to detect the expression level of genes in
biological research. A crucial step in processing qPCR data is to calculate
the amplification efficiency of genes to determine which method should be used
to calculate expression level of genes. This Package can do it easily.
In addition to that, this package can calculate the expression level of genes
based on three methods.