Author

Sara Pidò

Politecnico di MilanoORCID 0000-0003-1425-1719Unclaimed 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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Assay:bulk RNA-seq· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Carolina TestaiD· 1 shared Pietro PinoliiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Carolina TestaORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintDec 3, 2021

A Non-Negative Matrix Tri-Factorization based Method for Predicting Antitumor Drug Sensitivity

Sara Pidò, Carolina Testa, Pietro Pinoli

The paper enhances Non-Negative Matrix Tri-Factorization to predict antitumor drug sensitivity by integrating data types and testing on a CCLE dataset.

1 citation

humanbulk RNA-seq

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