A robust, agnostic molecular biosignature based on machine learning.

Cleaves, H James; Hystad, Grethe; Prabhu, Anirudh; Wong, Michael L; Cody, George D; Economon, Sophia; Hazen, Robert M

Cleaves, H James; Hystad, Grethe; Prabhu, Anirudh; Wong, Michael L; Cody, George D; Economon, Sophia; Hazen, Robert M.

Afiliación

Cleaves HJ; Earth and Planets Laboratory, Carnegie Institution for Science, Washington, DC 20015.
Hystad G; Earth Life Science Institute, Tokyo Institute of Technology, Tokyo 152-8550, Japan.
Prabhu A; Blue Marble Space Institute for Science, Seattle, WA 98104.
Wong ML; Department of Mathematics and Statistics, Purdue University Northwest, Hammond, IN 46323.
Cody GD; Earth and Planets Laboratory, Carnegie Institution for Science, Washington, DC 20015.
Economon S; Earth and Planets Laboratory, Carnegie Institution for Science, Washington, DC 20015.
Hazen RM; Sagan Fellow, NASA Hubble Fellowship Program, Space Telescope Science Institute, Baltimore, MD 21218.

Proc Natl Acad Sci U S A ; 120(41): e2307149120, 2023 10 10.

Article en En | MEDLINE | ID: mdl-37748080

Asunto(s)

Carbono; Emigrantes e Inmigrantes; Humanos; Exobiología; Fósiles; Aprendizaje Automático

Palabras clave

biosignatures; carbonaceous meteorites; machine learning; organic chemistry; taphonomy

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Carbono / Emigrantes e Inmigrantes Límite: Humans Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos

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