Author

Andrei Kucharavy

Johns Hopkins UniversityORCID 0000-0003-0429-8644Unclaimed ORCID profile · follow to get notified of new preprints

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Assay:DNA methylation· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1 Organism:yeast· 1

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El Mahdi El MhamdiiD· 1 shared Rachid GuerraouiiD· 1 shared Rong LiiD· 1 shared

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El Mahdi El MhamdiORCID

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Systems BiologybioRxivPreprintDec 21, 2018

Predicting complex genetic phenotypes using error propagation in weighted networks

El Mahdi El Mhamdi, Andrei Kucharavy, Rachid Guerraoui, Rong Li

The paper uses weighted networks with non-linear activation functions to predict gene essentiality in yeast and suggests biological networks function as distributed systems with unreliable components.

DOI 10.1101/487348

yeastDNA methylation

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