Literature DB >> 33782563

Meta-learning reduces the amount of data needed to build AI models in oncology.

Olivier Gevaert1.   

Abstract

Meta-learning is showing promise in recent genomic studies in oncology. Meta-learning can facilitate transfer learning and reduce the amount of data that is needed in a target domain by transferring knowledge from abundant genomic data in different source domains enabling the use of AI in data scarce scenarios.
© 2021. The Author(s), under exclusive licence to Cancer Research UK.

Entities:  

Mesh：

Year:  2021        PMID： 33782563      PMCID： PMC8329303          DOI： 10.1038/s41416-021-01358-1

Source DB:  PubMed          Journal:  Br J Cancer        ISSN： 0007-0920            Impact factor:   7.640


  4 in total

1.  One-shot learning of object categories.

Authors:  Li Fei-Fei; Rob Fergus; Pietro Perona
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2006-04       Impact factor: 6.226

2.  MARS: discovering novel cell types across heterogeneous single-cell experiments.

Authors:  Maria Brbić; Marinka Zitnik; Sheng Wang; Angela O Pisco; Russ B Altman; Spyros Darmanis; Jure Leskovec
Journal:  Nat Methods       Date:  2020-10-19       Impact factor: 28.547

3.  A meta-learning approach for genomic survival analysis.

Authors:  Yeping Lina Qiu; Hong Zheng; Arnout Devos; Heather Selby; Olivier Gevaert
Journal:  Nat Commun       Date:  2020-12-11       Impact factor: 14.919

4.  Few-shot learning creates predictive models of drug response that translate from high-throughput screens to individual patients.

Authors:  Jianzhu Ma; Samson H Fong; Yunan Luo; Christopher J Bakkenist; John Paul Shen; Soufiane Mourragui; Lodewyk F A Wessels; Marc Hafner; Roded Sharan; Jian Peng; Trey Ideker
Journal:  Nat Cancer       Date:  2021-01-25
  4 in total
  1 in total

1.  Transfer learning compensates limited data, batch effects and technological heterogeneity in single-cell sequencing.

Authors:  Youngjun Park; Anne-Christin Hauschild; Dominik Heider
Journal:  NAR Genom Bioinform       Date:  2021-11-12
  1 in total

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