Title: Feature Identification Between Metabolome and Microbiome in
Authors@R: person("Tianlu", "Chen", email = "chentianlu@sjtu.edu.cn",
Description: A strategy that provides the identification of metabolome and microbiome (Bi-omics) feature.
It is able to screen out key/driving features (metabolites, microbes, and pathway functions) by an integrated
importance score (IIS),combining sub-scores derived from difference, correlation, abundance, and network analysis.
It is able to identify microbe-function-metabolite chains and to rank association pairs within specific functions.
Imports: dplyr, Hmisc, ggplot2, ggrepel, htmlwidgets, igraph, magrittr,

Title: Bivariate Probit with Partial Observability
Author: Michael Guggisberg and Amrit Romana
Description: A suite of functions to estimate, summarize
and perform predictions with the bivariate probit subject to partial observability.
The frequentist and Bayesian probabilistic philosophies are both supported. The
frequentist method is estimated with maximum likelihood and the Bayesian method is
estimated with a Markov Chain Monte Carlo (MCMC) algorithm developed by

Title: Toolkit to identify synthetic lethality and cell line resistance
relationships based on bimodality in gene expression data.
Description: Enables the user to infer potential synthetic lethal relationships by analysing relationships between bimodally distributed gene pairs in big gene expression datasets.  Enables the user to look for enrichment of resistance to a compound in individual bimodal genes.

Title: Toolkit to Identify Candidate Synthetic Lethality
Description: Enables the user to infer potential synthetic lethal relationships
by analysing relationships between bimodally distributed gene pairs in big
gene expression datasets.  Enables the user to visualise these candidate

Title: Toolkit To Identify Candidate Synthetic Lethality
Description: Enables the user to infer potential synthetic lethal relationships by analysing relationships between bimodally distributed gene pairs in big gene expression datasets.  Enables the user to visualise these candidate synthetic lethal relationships