Literature DB >> 30940921

A call for a global 'bigger' data approach to Alzheimer disease.

Eric Perakslis1,2, Henry Riordan3, Lawrence Friedhoff4, Azmi Nabulsi5, Emilio Merlo Pich6.   

Abstract

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Year:  2019        PMID： 30940921     DOI： 10.1038/nrd.2018.86

Source DB:  PubMed          Journal:  Nat Rev Drug Discov        ISSN： 1474-1776            Impact factor:   84.694


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  2 in total

1.  Identification of contributing genes of Huntington's disease by machine learning.

Authors:  Jack Cheng; Hsin-Ping Liu; Wei-Yong Lin; Fuu-Jen Tsai
Journal:  BMC Med Genomics       Date:  2020-11-23       Impact factor: 3.063

2.  Machine learning compensates fold-change method and highlights oxidative phosphorylation in the brain transcriptome of Alzheimer's disease.

Authors:  Jack Cheng; Hsin-Ping Liu; Wei-Yong Lin; Fuu-Jen Tsai
Journal:  Sci Rep       Date:  2021-07-01       Impact factor: 4.379
  2 in total

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