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Biorxiv : the Preprint Server for Biology
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September 2, 2025
Learning sequence-function relationships with scalable, interpretable Gaussian processes
Juannan Zhou, Carlos Martí-Gómez, Samantha Petti, et al.
Plos Biology
|
May 16, 2024
Robust genetic codes enhance protein evolvability
Hana Rozhoňová, Carlos Martí-Gómez, David M McCandlish, et al.
Biorxiv : the Preprint Server for Biology
|
November 24, 2025
Uncovering the Mechanistic Landscape of Regulatory DNA with Deep Learning
Evan E Seitz, David M McCandlish, Justin B Kinney, et al.
Nature
|
May 31, 2013
The role of epistasis in protein evolution
David M McCandlish, Etienne Rajon, Premal Shah, et al.
Nature Machine Intelligence
|
February 14, 2025
Interpreting <i>cis</i>-regulatory mechanisms from genomic deep neural networks using surrogate models
Evan E Seitz, David M McCandlish, Justin B Kinney, et al.
Biorxiv : the Preprint Server for Biology
|
November 28, 2023
Interpreting <i>cis</i>-regulatory mechanisms from genomic deep neural networks using surrogate models
Evan E Seitz, David M McCandlish, Justin B Kinney, et al.
Science (New York, N.Y.)
|
October 19, 2023
Idiosyncratic and dose-dependent epistasis drives variation in tomato fruit size
Lyndsey Aguirre, Anat Hendelman, Samuel F Hutton, et al.
Biorxiv : the Preprint Server for Biology
|
July 17, 2025
On learning functions over biological sequence space: relating Gaussian process priors, regularization, and gauge fixing
Samantha Petti, Carlos Martí-Gómez, Justin B Kinney, et al.
Genes
|
August 24, 2018
Selection for Protein Stability Enriches for Epistatic Interactions
Anna Posfai, Juannan Zhou, Joshua B Plotkin, et al.
Arxiv
|
July 17, 2025
On learning functions over biological sequence space: relating Gaussian process priors, regularization, and gauge fixing
Samantha Petti, Carlos Martí-Gómez, Justin B Kinney, et al.
Page
of 7
Search research articles
Search
Showing results (31-40 of 62) with videos related to
Sort By:
Page
of 7
Biorxiv : the Preprint Server for Biology
|
September 2, 2025
Learning sequence-function relationships with scalable, interpretable Gaussian processes
Juannan Zhou, Carlos Martí-Gómez, Samantha Petti, et al.
Plos Biology
|
May 16, 2024
Robust genetic codes enhance protein evolvability
Hana Rozhoňová, Carlos Martí-Gómez, David M McCandlish, et al.
Biorxiv : the Preprint Server for Biology
|
November 24, 2025
Uncovering the Mechanistic Landscape of Regulatory DNA with Deep Learning
Evan E Seitz, David M McCandlish, Justin B Kinney, et al.
Nature
|
May 31, 2013
The role of epistasis in protein evolution
David M McCandlish, Etienne Rajon, Premal Shah, et al.
Nature Machine Intelligence
|
February 14, 2025
Interpreting <i>cis</i>-regulatory mechanisms from genomic deep neural networks using surrogate models
Evan E Seitz, David M McCandlish, Justin B Kinney, et al.
Biorxiv : the Preprint Server for Biology
|
November 28, 2023
Interpreting <i>cis</i>-regulatory mechanisms from genomic deep neural networks using surrogate models
Evan E Seitz, David M McCandlish, Justin B Kinney, et al.
Science (New York, N.Y.)
|
October 19, 2023
Idiosyncratic and dose-dependent epistasis drives variation in tomato fruit size
Lyndsey Aguirre, Anat Hendelman, Samuel F Hutton, et al.
Biorxiv : the Preprint Server for Biology
|
July 17, 2025
On learning functions over biological sequence space: relating Gaussian process priors, regularization, and gauge fixing
Samantha Petti, Carlos Martí-Gómez, Justin B Kinney, et al.
Genes
|
August 24, 2018
Selection for Protein Stability Enriches for Epistatic Interactions
Anna Posfai, Juannan Zhou, Joshua B Plotkin, et al.
Arxiv
|
July 17, 2025
On learning functions over biological sequence space: relating Gaussian process priors, regularization, and gauge fixing
Samantha Petti, Carlos Martí-Gómez, Justin B Kinney, et al.
Page
of 7