Soft Windowing Application to Improve Analysis of High-throughput Phenotyping Data
Hamed Haselimashhadi, Jeremy Mason, Violeta Muñoz‐Fuentes, Federico López, Kola Babalola, Elif Fidan Acar, Vivek Kumar, Jacqui K. White, Ann Marie Flenniken, Ruairidh King, Ewan Straiton, John Richard Seavitt, Angelina Gaspero, Arturo Garza, Audrey E. Christianson, , Terrence F. Meehan
The paper introduces a method called soft windowing to improve analysis of high-throughput phenotyping data by reducing false positives and increasing significant results.
Bioinformatics · Oct 4, 2019Peer-reviewedBioinformatics