Pete Heinzelman
ORCID: 0000-0002-5588-3731Pilot corpus only
This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.
Indexed papers
Papers
Driven by 12 papers. Top paper: “Neural networks to learn protein sequence–function relationships from deep mutational scanning data”.
Sarah A. Fahlberg, Pete Heinzelman, Philip A. Romero, Anthony Gitter, Sam Gelman
Philip A. Romero, Pete Heinzelman
Philip A. Romero, Pete Heinzelman
Jonathan C. Greenhalgh, Philip A. Romero, Pete Heinzelman
Jonathan C. Greenhalgh, Philip A. Romero, Pete Heinzelman
Philip A. Romero, Pete Heinzelman
Philip A. Romero, Pete Heinzelman
Chase R. Freschlin, Pete Heinzelman, Philip A. Romero, Sarah A. Fahlberg
Sarah A. Fahlberg, Pete Heinzelman, Philip A. Romero, Chase R. Freschlin
Austen Nissen, Tracy Gasperetti, Jamie Foeckler, Anne Frei, Rachel Kuehn +6 more
Sarah A. Fahlberg, Pete Heinzelman, Philip A. Romero, Anthony Gitter, Sam Gelman
Philip A. Romero, Pete Heinzelman, Evelyn F Okal