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AI applications in genomics and pathology informatics, including generative AI (49) New Methods (1897) Tools, Programs and Algorithms (624) Ontologies, Classifications, and Coding (484) Machine Learning (3404) Bioinformatics, genomics, tools and databases (85)

Published on in Vol 7 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/92194, first published .
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Sequence-Driven Classification of Aptamers by Target Type: Algorithm Development and Validation

Sequence-Driven Classification of Aptamers by Target Type: Algorithm Development and Validation

Authors of this article:

Ava George1 Author Orcid Image ;   Andrew Takayama1 Author Orcid Image ;   Andres Medina1 Author Orcid Image ;   Amanda Reyes2 Author Orcid Image ;   Damian Ventura2 Author Orcid Image ;   Stevan Pecic2 Author Orcid Image ;   Ankita Mohapatra3 Author Orcid Image
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Ava George   1 * ;   Andrew Takayama   1 * , BS ;   Andres Medina   1 , MS ;   Amanda Reyes   2 , MS ;   Damian Ventura   2 * , MS ;   Stevan Pecic   2 * , PhD ;   Ankita Mohapatra   3 * , PhD

1 Department of Computer Science, Fullerton College, Fullerton, CA, United States

2 Department of Chemistry and Biochemistry, California State University, Fullerton, CA, United States

3 Department of Electrical and Computer Engineering, California State University, Fullerton, CA, United States

*these authors contributed equally

Corresponding Author:

  • Ankita Mohapatra, PhD
  • Department of Electrical and Computer Engineering
  • California State University
  • 500 N State Clg Blvd
  • Fullerton, CA 92831
  • United States
  • Phone: +1 (657) 278-2853
  • Email: amohapatra@fullerton.edu