Additional file 4: Figure S2. of WorMachine: machine learning-based phenotypic analysis tool for worms

Other literature type English OPEN
Hakim, Adam; Mor, Yael; Toker, Itai; Levine, Amir; Neuhof, Moran; Markovitz, Yishai; Rechavi, Oded;
(2018)
  • Related identifiers: doi: 10.6084/m9.figshare.5793084.v1
  • Subject: Biochemistry | Cell Biology | Molecular Biology | Sociology | Developmental Biology | Virology | Biological Sciences not elsewhere classified | Chemical Sciences not elsewhere classified | Caenorhabditis elegans | Machine learning | Deep learning | High-throughput image analysis | Feature extraction | Image processing | Phenotype analysis

Features used to establish worm masculinity. Violin plots show the morphological features (A) and fluorescent features (B) used to determine the masculinity of him-5; [tph-1p::GFP] worms. A total of 545 pre-labeled worms of each sex were used for analysis (****p < 10â&#... View more
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