Andre Schuetzenmeister [aut, cre], Florian Dufey [aut]

Edward Grant, Xia Li, Kenneth Lange, Tong Tong Wu

Edward Grant, Xia Li,  Kenneth Lange, Tong Tong Wu
Multicategory Vertex Discriminant Analysis: A novel supervised multicategory classification method

Analyze Peptide Array Data and characterize peptide
sequence space. Allows for high level visualization of global signal, Quality control based
on replicate correlation and/or relative Kd, calculation of peptide Length/Charge/Kd parameters,
Hits selection based on RFU Signal, and amino acid composition/basic motif recognition with RFU
signal weighting. Basic signal trends can be used to generate peptides that follow the observed
compositional trends.

The VDC system is an open source digital library system for
quantitative data. This is a package to support on-line analysis using
VDC and Zelig, accuracy, and R2HTML

R (>= 1.9.0), Zelig, R2HTML, accuracy , utils

R (>= 2.1.0), Zelig, R2HTML, accuracy , utils

Variable, Diversity and Joining Sequences from Various Species
Contains variable, diversity, and joining sequences and accompanying functions that enable both the extraction of and comparison between immune V-D-J genomic segments from a variety of species. Sources include IMGT from MP Lefranc (2009) <doi:10.1093/nar/gkn838> and Vgenerepertoire from publication DN Olivieri (2014) <doi:10.1007/s00251-014-0784-3>.

Visualization of Distribution of Selected Model
c(
person("Linna", "Wang", email="wang2l9@mail.uc.edu",
role=c("aut", "cre")),
person("Yichen", "Qin",
role="aut"))
Although model selection is ubiquitous in scientific discovery, the stability and uncertainty of the selected model is often hard to evaluate. How to characterize the random behavior of the model selection procedure is the key to understand and quantify the model selection uncertainty. This R package offers several graphical tools to visualize the distribution of the selected model. For example, Gplot(), Hplot(), VDSM_scatterplot() and VDSM_heatmap(). To the best of our knowledge, this is the first attempt to visualize such a distribution. About what distribution of selected model is and how it work please see Qin,Y.and Wang,L. (2021) "Visualization of Model Selection Uncertainty" <https://homepages.uc.edu/~qinyn/VDSM/VDSM.html>.
ggplot2, plyr, dplyr, grid, viridis, gridExtra, knitr, stats