Samantha Petti

Biochemistry, Genetics and Molecular BiologyMathematics

Pilot 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.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 8 papers. Top paper: “Learning sequence-function relationships with scalable, interpretable Gaussian processes”.

Learning sequence-function relationships with scalable, interpretable Gaussian processes

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.08.15.670613

N/A

0.104DataRank · unranked

1 citations

Carlos Martí‐Gómez, Samantha Petti, David M. McCandlish, Juannan Zhou

Constructing benchmark test sets for biological sequence analysis using independent set algorithms

PLoS Computational Biology(2022)10.1371/journal.pcbi.1009492

N/A

0DataRank · unranked

21 citations

Sean R. Eddy, Samantha Petti

Inferring sparse structure in genotype–phenotype maps

Genetics(2023)10.1093/genetics/iyad127

N/A

0DataRank · unranked

18 citations

Gautam Reddy, Michael M Desai, Samantha Petti

Learning sequence-function relationships with scalable, interpretable Gaussian processes

eLife(2025)10.7554/elife.108964.1

N/A

0DataRank · unranked

2 citations

Carlos Martí‐Gómez, Samantha Petti, David M. McCandlish, Juannan Zhou

SoftAlign: End-to-end protein structures alignment

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.05.09.653096

N/A

0DataRank · unranked

1 citations

Samantha Petti, Sukhwan Park, Kithmini Herath, Michel van Kempen, Shihao Feng +4 more

Learning sequence-function relationships with scalable, interpretable Gaussian processes

eLife(2025)10.7554/elife.108964

N/A

0DataRank · unranked

1 citations

Carlos Martí‐Gómez, Samantha Petti, David M. McCandlish, Juannan Zhou

End-to-end learning of multiple sequence alignments with differentiable Smith–Waterman

Bioinformatics(2022)10.1093/bioinformatics/btac724

N/A

0DataRank · unranked

44 citations

Nicholas Bhattacharya, Roshan Rao, Justas Dauparas, Neil Thomas, Juannan Zhou +4 more

Inferring genotype-phenotype maps using attention models

arXiv (Cornell University)(2025)10.48550/arxiv.2504.10388

N/A

0DataRank · unranked

0 citations

Caroline M. Holmes, Samantha Petti, Gautam Reddy, Michael M Desai, Pankaj Mehta +1 more