The package can implement the network-based metabolite pathway
identification of pathways.
(1) Our system provides a network-based strategies for metabolite pathway identification.(2) The MPINet can support the identification of pathways using Hypergeometric test based on metabolite set. (3)MPINet can support pathways from multiple databases.
getPSS.R performpcls.R identifypathway.R GetExampleData.R
getEnvironmentData.R
Statistics, Annotation, Pathways, metabolite, Networks

Modified Profile Likelihood Estimation for Weibull Shape and
Regression Parameters
Computing modified profile likelihood estimates for Weibull Shape and Regression Parameters. Modified likelihood estimates are provided.

Most Probable Number for Serial Dilutions
c(
person("Martine", "Ferguson", email = "Martine.Ferguson@fda.hhs.gov",
role = "aut", comment = "original R code"),
person("John", "Ihrie", email = "John.Ihrie@fda.hhs.gov",
role = c("cre", "aut")))
Calculates the Most Probable Number for serial dilutions to
quantify the concentration (density) of microbes in a laboratory sample.
Currently implements the confidence interval approach described in Jarvis
(2010) <doi:10.1111/j.1365-2672.2010.04792.x>.
Martine Ferguson [aut] (original R code),
John Ihrie [cre, aut]

Calculates the Most Probable Number for serial dilutions to
quantify the concentration (density) of microbes in a laboratory sample
(described in Jarvis (2010) <doi:10.1111/j.1365-2672.2010.04792.x>).

Most Probable Number and Other Microbial Enumeration Techniques
Calculates the Most Probable Number (MPN) to quantify the
concentration (density) of microbes in serial dilutions of a laboratory
sample (described in Jarvis, 2010 <doi:10.1111/j.1365-2672.2010.04792.x>).
Also calculates the Aerobic Plate Count (APC) for similar microbial
enumeration experiments.

Maximum Parsimony of Recombination to Infer Parental Genotypes
Weitong Guo[aut] <464984199@qq.com> and Weibo Xie[aut,cre] <xwbcn@webmail.hzau.edu.cn>
Infer parental genotypes based on low-coverage population sequencing data and
thus can genotype mapping populations and construct ultra-high density linkage map
in a parent-independent manner. Weibo Xie et al. (2010) <doi:10.1073/pnas.1005931107>.