Cargando…
Automated identification of cell-type-specific genes in the mouse brain by image computing of expression patterns
BACKGROUND: Differential gene expression patterns in cells of the mammalian brain result in the morphological, connectional, and functional diversity of cells. A wide variety of studies have shown that certain genes are expressed only in specific cell-types. Analysis of cell-type-specific gene expre...
Autores principales: | Li, Rongjian, Zhang, Wenlu, Ji, Shuiwang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4078975/ https://www.ncbi.nlm.nih.gov/pubmed/24947138 http://dx.doi.org/10.1186/1471-2105-15-209 |
Ejemplares similares
-
Deep convolutional neural networks for annotating gene expression patterns in the mouse brain
por: Zeng, Tao, et al.
Publicado: (2015) -
A mesh generation and machine learning framework for Drosophila gene expression pattern image analysis
por: Zhang, Wenlu, et al.
Publicado: (2013) -
A bag-of-words approach for Drosophila gene expression pattern annotation
por: Ji, Shuiwang, et al.
Publicado: (2009) -
Automated identification of the mouse brain’s spatial compartments from in situ sequencing data
por: Partel, Gabriele, et al.
Publicado: (2020) -
Computational genetic neuroanatomy of the developing mouse brain: dimensionality reduction, visualization, and clustering
por: Ji, Shuiwang
Publicado: (2013)