Automatic image analysis for gene expression patterns of fly embryos.
about
Bioimage informatics: a new area of engineering biology.Towards 3D in silico modeling of the sea urchin embryonic developmentPrediction and analysis of protein hydroxyproline and hydroxylysineVisualization and analysis of 3D microscopic imagesComparison of embryonic expression within multigene families using the FlyExpress discovery platform reveals more spatial than temporal divergenceAutomated annotation of developmental stages of Drosophila embryos in images containing spatial patterns of expression.Extraction and comparison of gene expression patterns from 2D RNA in situ hybridization images.Systematic image-driven analysis of the spatial Drosophila embryonic expression landscapeVisualization of image data from cells to organisms.High-throughput screening and small animal models, where are we?A combinatorial code for pattern formation in Drosophila oogenesisReconstructing embryonic development.Automatic annotation of spatial expression patterns via sparse Bayesian factor models.Medium-throughput processing of whole mount in situ hybridisation experiments into gene expression domainsUnsupervised clustering of subcellular protein expression patterns in high-throughput microscopy images reveals protein complexes and functional relationships between proteins.BIOCAT: a pattern recognition platform for customizable biological image classification and annotation.Stability-driven nonnegative matrix factorization to interpret spatial gene expression and build local gene networksJoint stage recognition and anatomical annotation of Drosophila gene expression patternsAutomated annotation of gene expression image sequences via non-parametric factor analysis and conditional random fieldsDiscover mouse gene coexpression landscapes using dictionary learning and sparse coding.A high-fidelity cell lineage tracing method for obtaining systematic spatiotemporal gene expression patterns in Caenorhabditis elegans.FuncISH: learning a functional representation of neural ISH images.System approaches reveal the molecular networks involved in neural stem cell differentiationPROCESS FLOW FOR CLASSIFICATION AND CLUSTERING OF FRUIT FLY GENE EXPRESSION PATTERNS.Systems biology of embryogenesis.Automated gene oscillation phase classification for zebrafish presomitic mesoderm cells.
P2860
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P2860
Automatic image analysis for gene expression patterns of fly embryos.
description
2007 nî lūn-bûn
@nan
2007 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Automatic image analysis for gene expression patterns of fly embryos.
@ast
Automatic image analysis for gene expression patterns of fly embryos.
@en
Automatic image analysis for gene expression patterns of fly embryos.
@nl
type
label
Automatic image analysis for gene expression patterns of fly embryos.
@ast
Automatic image analysis for gene expression patterns of fly embryos.
@en
Automatic image analysis for gene expression patterns of fly embryos.
@nl
prefLabel
Automatic image analysis for gene expression patterns of fly embryos.
@ast
Automatic image analysis for gene expression patterns of fly embryos.
@en
Automatic image analysis for gene expression patterns of fly embryos.
@nl
P2093
P2860
P1433
P1476
Automatic image analysis for gene expression patterns of fly embryos.
@en
P2093
Fuhui Long
Garmay Leung
Hanchuan Peng
P2860
P2888
P356
10.1186/1471-2121-8-S1-S7
P478
P577
2007-07-10T00:00:00Z
P6179
1014912477