Author

Morteza Pourreza Shahri

Montana State UniversityORCID 0000-0002-2437-9153Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Indika KahandaiD· 2 shared Gillian L. ReynoldsiD· 1 shared Julia ScheareriD· 1 shared Katrina N. LyoniD· 1 shared Mandi M. RoeiD· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Indika KahandaORCID

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2 papers

Recent·Most cited

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.

bioRxiv · Sep 18, 2020 · PreprintBioinformatics

PPPred: Classifying Protein-phenotype Co-mentions Extracted from Biomedical Literature

Morteza Pourreza Shahri, Mandi M. Roe, Gillian L. Reynolds, Indika Kahanda

PPPred classifies protein-phenotype co-mentions from biomedical text using supervised learning, outperforming baselines in validation.

bioRxiv · May 31, 2019 · PreprintBioinformatics