Author

Alejandro Panjkovich

Bristol-Myers Squibb (United States)ORCID 0000-0002-9111-3232Unclaimed 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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Research Focus:benchmarking· 1 Approach:deep learning· 1

Frequent Co-Authors

Antonio de la Vega de LeóniD· 1 shared Guillermo ClimentiD· 1 shared Mirko TorrisiiD· 1 shared Remco LoosiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Antonio de la Vega de LeónORCID

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1 paper

Recent·Most cited

Improving the assessment of deep learning models in the context of drug-target interaction prediction

Mirko Torrisi, Antonio de la Vega de León, Guillermo Climent, Remco Loos, Alejandro Panjkovich

This paper improves the assessment of deep learning models for drug-target interaction prediction by addressing dataset biases and proposing a more accurate evaluation framework.

bioRxiv · Apr 20, 2022 · PreprintBioinformatics