Soft windowing application to improve analysis of high-throughput phenotyping data | Zendy

Hamed Haselimashhadi | Zendy; Jeremy Mason | Zendy; Violeta MuñozFuentes | Zendy; Federico López | Zendy; Kola Babalola | Zendy; Elif F. Acar | Zendy; Vivek Kumar | Zendy; Jacqui White | Zendy; Ann M. Flenniken | Zendy; Ruairidh King | Zendy; Ewan Straiton | Zendy; John R. Seavitt | Zendy; Angelina Gaspero | Zendy; Arturo Garza | Zendy; Audrey E. Christianson | Zendy; ChihWei Hsu | Zendy; Corey L. Reynolds | Zendy; Denise G. Lanza | Zendy; Isabel Lorenzo | Zendy; Jennie R. Green | Zendy; Juan Gallegos | Zendy; Ritu Bohat | Zendy; Rodney C. Samaco | Zendy; Surabi Veeraragavan | Zendy; Jong Kim | Zendy; Gregor Miller | Zendy; Helmult Fuchs | Zendy; Lillian Garrett | Zendy; Lore Becker | Zendy; Yeon Kyung Kang | Zendy; David Clary | Zendy; Soo Young Cho | Zendy; Masaru Tamura | Zendy; Nobuhiko Tanaka | Zendy; Kyung Dong Soo | Zendy; Alexandr Bezginov | Zendy; Ghina Bou About | Zendy; MarieFrance Champy | Zendy; Laurent Vasseur | Zendy; Sophie Leblanc | Zendy; Hamid Méziane | Zendy; Mohammed Selloum | Zendy; Patrick T. Reilly | Zendy; Nadine Spielmann | Zendy; Holger Maier | Zendy; Valérie GailusDurner | Zendy; Tania Sorg | Zendy; Hiroshi Masuya | Zendy; Yuichi Obata | Zendy; Jason D. Heaney | Zendy; Mary E. Dickinson | Zendy; Wurst Wolfgang | Zendy; Glauco P. TocchiniValentini | Zendy; K. C. Kent Lloyd | Zendy; Colin McKerlie | Zendy; Je Kyung Seong | Zendy; Yann Hérault | Zendy; Martin Hrabé de Angelis | Zendy; Steve D M Brown | Zendy; Damian Smedley | Zendy; Paul Flicek | Zendy; AnnMarie Mallon | Zendy; Helen Parkinson | Zendy; Terrence F. Meehan | Zendy

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Soft windowing application to improve analysis of high-throughput phenotyping data

Author(s) -

Hamed Haselimashhadi,

Jeremy Mason,

Violeta MuñozFuentes,

Federico López,

Kola Babalola,

Elif F. Acar,

Vivek Kumar,

Jacqui White,

Ann M. Flenniken,

Ruairidh King,

Ewan Straiton,

John R. Seavitt,

Angelina Gaspero,

Arturo Garza,

Audrey E. Christianson,

ChihWei Hsu,

Corey L. Reynolds,

Denise G. Lanza,

Isabel Lorenzo,

Jennie R. Green,

Juan Gallegos,

Ritu Bohat,

Rodney C. Samaco,

Surabi Veeraragavan,

Jong Kim,

Gregor Miller,

Helmult Fuchs,

Lillian Garrett,

Lore Becker,

Yeon Kyung Kang,

David Clary,

Soo Young Cho,

Masaru Tamura,

Nobuhiko Tanaka,

Kyung Dong Soo,

Alexandr Bezginov,

Ghina Bou About,

MarieFrance Champy,

Laurent Vasseur,

Sophie Leblanc,

Hamid Méziane,

Mohammed Selloum,

Patrick T. Reilly,

Nadine Spielmann,

Holger Maier,

Valérie GailusDurner,

Tania Sorg,

Hiroshi Masuya,

Yuichi Obata,

Jason D. Heaney,

Mary E. Dickinson,

Wurst Wolfgang,

Glauco P. TocchiniValentini,

K. C. Kent Lloyd,

Colin McKerlie,

Je Kyung Seong,

Yann Hérault,

Martin Hrabé de Angelis,

Steve D M Brown,

Damian Smedley,

Paul Flicek,

AnnMarie Mallon,

Helen Parkinson,

Terrence F. Meehan

Publication year - 2019

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btz744

Subject(s) - computer science , throughput , software , data mining , computational biology , programming language , biology , operating system , wireless

High-throughput phenomic projects generate complex data from small treatment and large control groups that increase the power of the analyses but introduce variation over time. A method is needed to utlize a set of temporally local controls that maximizes analytic power while minimizing noise from unspecified environmental factors.

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