Cargando…
Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval
BACKGROUND: Fruit fly embryogenesis is one of the best understood animal development systems, and the spatiotemporal gene expression dynamics in this process are captured by digital images. Analysis of these high-throughput images will provide novel insights into the functions, interactions, and net...
Autores principales: | Yuan, Lei, Woodard, Alexander, Ji, Shuiwang, Jiang, Yuan, Zhou, Zhi-Hua, Kumar, Sudhir, Ye, Jieping |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3434040/ https://www.ncbi.nlm.nih.gov/pubmed/22621237 http://dx.doi.org/10.1186/1471-2105-13-107 |
Ejemplares similares
-
A bag-of-words approach for Drosophila gene expression pattern annotation
por: Ji, Shuiwang, et al.
Publicado: (2009) -
Image-level and group-level models for Drosophila gene expression pattern annotation
por: Sun, Qian, et al.
Publicado: (2013) -
Automated annotation of developmental stages of Drosophila embryos in images containing spatial patterns of expression
por: Yuan, Lei, et al.
Publicado: (2014) -
Deep convolutional neural networks for annotating gene expression patterns in the mouse brain
por: Zeng, Tao, et al.
Publicado: (2015) -
Sparse Binary Relation Representations for Genome Graph Annotation
por: Karasikov, Mikhail, et al.
Publicado: (2020)