Author

Albert Steppi

Harvard UniversityORCID 0000-0001-5871-6245Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Benjamin M. GyoriiD· 2 shared Changchang LiuiD· 1 shared Charles Tapley HoytiD· 1 shared Clemens B. HugiD· 1 shared John A. BachmaniD· 1 shared Liang‐Chin HuangiD· 1 shared Matthew E. BerginskiiD· 1 shared Natarajan KannaniD· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Benjamin M. GyoriORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformatics AdvancesPeer-reviewedJan 1, 2022

Gilda: biomedical entity text normalization with machine-learned disambiguation as a service

Benjamin M. Gyori, Charles Tapley Hoyt, Albert Steppi

Gilda is a tool that normalizes biomedical entity names using machine-learned disambiguation models and provides a web service for this task.

19 citations

machine learning (classical)software / tool

𝕏 PostBluesky

Systems BiologybioRxivPreprintApr 2, 2020

Exploring the understudied human kinome for research and therapeutic opportunities

Nienke Moret, Changchang Liu, Benjamin M. Gyori…·Peter Karl Sorger

This paper refines the definition of the human kinome, identifies understudied kinases, and highlights their potential as drug targets through differential expression, essentiality, and mutation data.

32 citations

humanproteomics

𝕏 PostBluesky