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Small data methods in omics: the power of one.
Johnston, Kevin G; Grieco, Steven F; Nie, Qing; Theis, Fabian J; Xu, Xiangmin.
Afiliación
  • Johnston KG; Department of Mathematics, University of California, Irvine, Irvine, CA, USA.
  • Grieco SF; Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, Irvine, CA, USA.
  • Nie Q; Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, Irvine, CA, USA.
  • Theis FJ; Center for Neural Circuit Mapping, University of California, Irvine, Irvine, CA, USA.
  • Xu X; Department of Mathematics, University of California, Irvine, Irvine, CA, USA. qnie@uci.edu.
Nat Methods ; 21(9): 1597-1602, 2024 Sep.
Article en En | MEDLINE | ID: mdl-39174710
ABSTRACT
Over the last decade, biology has begun utilizing 'big data' approaches, resulting in large, comprehensive atlases in modalities ranging from transcriptomics to neural connectomics. However, these approaches must be complemented and integrated with 'small data' approaches to efficiently utilize data from individual labs. Integration of smaller datasets with major reference atlases is critical to provide context to individual experiments, and approaches toward integration of large and small data have been a major focus in many fields in recent years. Here we discuss progress in integration of small data with consortium-sized atlases across multiple modalities, and its potential applications. We then examine promising future directions for utilizing the power of small data to maximize the information garnered from small-scale experiments. We envision that, in the near future, international consortia comprising many laboratories will work together to collaboratively build reference atlases and foundation models using small data methods.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genómica Límite: Animals / Humans Idioma: En Revista: Nat Methods Asunto de la revista: TECNICAS E PROCEDIMENTOS DE LABORATORIO Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genómica Límite: Animals / Humans Idioma: En Revista: Nat Methods Asunto de la revista: TECNICAS E PROCEDIMENTOS DE LABORATORIO Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos