Author

Adriano Velasque Werhli

Universidade Federal do Rio GrandeORCID 0000-0001-7107-5024Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Evangelia PetsalakiiD· 1 shared Lourdes SrirajaiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Evangelia PetsalakiORCID

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1 paper

Recent·Most cited

BioinformaticsComputational and Structural Biotechnology JournalPeer-reviewedDec 15, 2022

Phosphoproteomics data-driven signalling network inference: does it work?

Lourdes Sriraja, Adriano Velasque Werhli, Evangelia Petsalaki

This study evaluates six pairwise measures for predicting kinase-substrate and substrate-substrate associations from phosphoproteomics data, finding poor performance but improved results with sequence similarity filtering.

11 citations

proteomicsstatistical model

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