"Soft windowing application to improve analysis of high-throughput ..."

Hamed Haselimashhadi et al. (2020)

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DOI: 10.1093/BIOINFORMATICS/BTZ744

access: open

type: Journal Article

metadata version: 2024-10-06

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Hamed Haselimashhadi, Jeremy C. Mason, Violeta Muñoz-Fuentes, Federico López-Gómez, Kolawole O. Babalola, Elif F. Acar, Vivek Kumar, Jacqui White, Ann M. Flenniken, Ruairidh King, Ewan Straiton, John Richard Seavitt, Angelina Gaspero, Arturo Garza, Audrey E. Christianson, Chih-Wei Hsu, Corey L. Reynolds, Denise G. Lanza, Isabel Lorenzo, Jennie R. Green, Juan J. Gallegos, Ritu Bohat, Rodney C. Samaco, Surabi Veeraragavan, Jong Kyoung Kim, Gregor Miller, Helmut 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, Marie-France Champy, Laurent Vasseur, Sophie Leblanc, Hamid Meziane, Mohammed Selloum, Patrick T. Reilly, Nadine Spielmann, Holger Maier, Valérie Gailus-Durner, Tania Sorg, Hiroshi Masuya, Yuichi Obata, Jason D. Heaney, Mary E. Dickinson, Wolfgang Wurst, Glauco P. Tocchini-Valentini, Kevin C. Kent Lloyd, Colin McKerlie, Je Kyung Seong, Yann Herault, Martin Hrabé de Angelis, Steve D. M. Brown, Damian Smedley, Paul Flicek, Ann-Marie Mallon, Helen E. Parkinson, Terrence F. Meehan:
Soft windowing application to improve analysis of high-throughput phenotyping data. Bioinform. 36(5): 1492-1500 (2020)

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