ProCoNA_Data: A simulated mass tag data base
In ProCoNA: Protein co-expression network analysis (ProCoNA).
Description
The mass tag database, which would be used to identify peptides, simply
maps peptide IDs to peptide sequences and protein matches.
This simulated peptide dataset was generated using OpenMS's MSSimulator. A set
of proteins was randomly sampled, and used to generate a likely set of observed
peptides. Then data for a co-expression network was simulated with WGCNA's
simulation function, and columns were named with simulated peptides.
The mass tag database, which would be used to identify peptides, simply
maps peptide IDs to peptide sequences and protein matches. This represents
a mapping to Entrez IDs.
The matrix annotates the biological samples according to
... phenotypic observations!
The two network objects are included to avoid rebuilding them in the
other man page examples.
ProCoNA documentation built on Nov. 1, 2018, 3:28 a.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
The mass tag database, which would be used to identify peptides, simply maps peptide IDs to peptide sequences and protein matches.
This simulated peptide dataset was generated using OpenMS's MSSimulator. A set of proteins was randomly sampled, and used to generate a likely set of observed peptides. Then data for a co-expression network was simulated with WGCNA's simulation function, and columns were named with simulated peptides.
The mass tag database, which would be used to identify peptides, simply maps peptide IDs to peptide sequences and protein matches. This represents a mapping to Entrez IDs.
The matrix annotates the biological samples according to ... phenotypic observations!
The two network objects are included to avoid rebuilding them in the other man page examples.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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