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Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data.

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Title: Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data.
Authors: Smith AM; Unlearn.AI, Inc., San Francisco, CA, USA. drams@unlearn.ai., Walsh JR; Unlearn.AI, Inc., San Francisco, CA, USA., Long J; Computational Sciences, Worldwide Research & Development, Pfizer Inc., Cambridge, MA, USA., Davis CB; Oncology Global Product Development, Pfizer Inc., San Diego, CA, USA., Henstock P; Business Technology, Pfizer Inc., Cambridge, MA, USA., Hodge MR; Inflammation and Immunology, Worldwide Research & Development, Pfizer Inc., Cambridge, MA, USA., Maciejewski M; Inflammation and Immunology, Worldwide Research & Development, Pfizer Inc., Cambridge, MA, USA., Mu XJ; Oncology Research & Development, Worldwide Research & Development, Pfizer Inc., San Diego, CA, USA., Ra S; Computational Sciences, Worldwide Research & Development, Pfizer Inc., Cambridge, MA, USA., Zhao S; Computational Sciences, Worldwide Research & Development, Pfizer Inc., Cambridge, MA, USA., Ziemek D; Inflammation and Immunology, Worldwide Research & Development, Pfizer Pharma GmbH., Berlin, Germany., Fisher CK; Unlearn.AI, Inc., San Francisco, CA, USA.
Source: BMC bioinformatics [BMC Bioinformatics] 2020 Mar 20; Vol. 21 (1), pp. 119. Date of Electronic Publication: 2020 Mar 20.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data.
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  Data: <searchLink fieldCode="AU" term="%22Smith+AM%22">Smith AM</searchLink>; Unlearn.AI, Inc., San Francisco, CA, USA. drams@unlearn.ai.<br /><searchLink fieldCode="AU" term="%22Walsh+JR%22">Walsh JR</searchLink>; Unlearn.AI, Inc., San Francisco, CA, USA.<br /><searchLink fieldCode="AU" term="%22Long+J%22">Long J</searchLink>; Computational Sciences, Worldwide Research & Development, Pfizer Inc., Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Davis+CB%22">Davis CB</searchLink>; Oncology Global Product Development, Pfizer Inc., San Diego, CA, USA.<br /><searchLink fieldCode="AU" term="%22Henstock+P%22">Henstock P</searchLink>; Business Technology, Pfizer Inc., Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Hodge+MR%22">Hodge MR</searchLink>; Inflammation and Immunology, Worldwide Research & Development, Pfizer Inc., Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Maciejewski+M%22">Maciejewski M</searchLink>; Inflammation and Immunology, Worldwide Research & Development, Pfizer Inc., Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Mu+XJ%22">Mu XJ</searchLink>; Oncology Research & Development, Worldwide Research & Development, Pfizer Inc., San Diego, CA, USA.<br /><searchLink fieldCode="AU" term="%22Ra+S%22">Ra S</searchLink>; Computational Sciences, Worldwide Research & Development, Pfizer Inc., Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Zhao+S%22">Zhao S</searchLink>; Computational Sciences, Worldwide Research & Development, Pfizer Inc., Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Ziemek+D%22">Ziemek D</searchLink>; Inflammation and Immunology, Worldwide Research & Development, Pfizer Pharma GmbH., Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Fisher+CK%22">Fisher CK</searchLink>; Unlearn.AI, Inc., San Francisco, CA, USA.
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