GMMbyCond-class: Processed MS data, organised by condition

In saezlab/PHONEMeS-ILP: Building logic-based models from discovery high-content phosphoproteomics data

Processed MS data, organised by condition

Description

This class contains the MS data to be used, after pre-processing and Gaussian Mixture Modelling, organised by condition

Objects from the Class

Objects of class GMMbyCond can be created from dataBycond

Slots

dataBC:

list with one element for each condition, and inside one data frame (data for all peptides under one drug) for each drug treatment that matches that condition

speciesP:

list matching to the above, containing the nodes in the data (in the same format as S.cc, i.e. "UPID.res.pos") that are perturbed under the drug treatments used. The data in both of these elements only relates to those nodes that are reachable in the full background network.

Methods

An overview of methods with class-specific functionality: More detailed introduction can be found in help for each specific function.

Author(s)

C. Terfve [e-mail]

See Also

dataBycond

saezlab/PHONEMeS-ILP documentation built on June 21, 2022, 5:36 p.m.