Author

Julia Schearer

Montana State UniversityORCID 0000-0002-9619-6751Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

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Indika KahandaiD· 1 shared Katrina N. LyoniD· 1 shared Morteza Pourreza ShahriiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Indika KahandaORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintSep 18, 2020

DeepPPPred: An Ensemble of BERT, CNN, and RNN for Classifying Co-mentions of Proteins and Phenotypes

Morteza Pourreza Shahri, Katrina N. Lyon, Julia Schearer, Indika Kahanda

DeepPPPred combines BERT, CNN, and RNN with PPPred to classify protein-phenotype co-mentions, achieving state-of-the-art performance on an expanded gold-standard dataset.

12 citations

humanproteomics

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