Title: Predicting Modulator and Functional/Survival Analysis
Author: Yongsheng Li,Zishan Wang,Juan Xu*,Xia Li*
Description: Predict modulators regulating the ability of effectors to regulate their targets and produce
modulator-effector-target triplets followed by goterm functional enrichment and survival analysis.This
is mainly applied to long non-coding RNAs (lncRNAs) as candidate modulators regulating the ability of
transcription factors (TFs) to regulate their corresponding targets.
Packaged: 2015-06-27 00:29:50 UTC; Administrator

Title: Identifying the Pathways Regulated by LncRNA Sets of Interest
Description: Identifies pathways synergisticly regulated by the interested lncRNA(long non-coding RNA) sets based on a lncRNA-mRNA(messenger RNA) interaction network. 1) The lncRNA-mRNA interaction network was built from the protein-protein interactions and the lncRNA-mRNA co-expression relationships in 28 RNA-Seq data sets. 2) The interested lncRNAs can be mapped into networks as seed nodes and a random walk strategy will be performed to evaluate the rate of each coding genes influenced by the seed lncRNAs. 3) Pathways regulated by the lncRNA set will be evaluated by a weighted Kolmogorov-Smirnov statistic as an ES Score. 4) The p value and false discovery rate value will also be calculated through a permutation analysis. 5) The running score of each pathway can be plotted and the heat map of each pathway can also be plotted if an expression profile is provided. 6) The rank and scores of the gene list of each pathway can be printed.

Title: Prioritizing Candidate LncRNAs Based on a Composite Multi-Level
Description: Prioritizing the disease lncRNAs based on random walking on a composite Multi-level network.

Title: Generalized Spline Mixed Effect Models for Longitudinal Breath
Authors@R: c( person("Anne-Christin", "Hauschild", email = "achauschild@googlemail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-7499-4373")),
person("Sandy", "P. Eckel", role = c("ths", "com")),
person("Jan", "Baumbach", role = "ths"))
Description: Automated analysis and modeling of longitudinal 'omics' data (e.g. breath 'metabolomics') using generalized spline mixed effect models. Including automated filtering of noise parameters and determination of breakpoints.
Imports: methods, lawstat, nlme, graphics, RColorBrewer, stats, base,
Packaged: 2022-03-15 21:43:06 UTC; gittakirana
Author: Anne-Christin Hauschild [aut, cre]