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Context based mixture model for cell phase identification in automated fluorescence microscopy

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Context based mixture model for cell phase identification in automated fluorescence microscopy (English)

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Xiaobo Zhou

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Stephen T C Wong

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4

object named as

Stephen T C Wong

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author name string

Meng Wang

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1

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Randy W King

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3

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language of work or name

English

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publication date

30 January 2007

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published in

BMC Bioinformatics

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volume

8

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issue

1

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page(s)

32

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https://scigraph.springernature.com/pub.10.1186/1471-2105-8-32

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A graphical model approach to automated classification of protein subcellular location patterns in multi-cell images

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PubMed

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https://pubmed.ncbi.nlm.nih.gov/17263881

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12 December 2020

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A global geometric framework for nonlinear dimensionality reduction

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PubMed

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https://pubmed.ncbi.nlm.nih.gov/17263881

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12 December 2020

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A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells

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PubMed

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https://pubmed.ncbi.nlm.nih.gov/17263881

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12 December 2020

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A hybrid 3D watershed algorithm incorporating gradient cues and object models for automatic segmentation of nuclei in confocal image stacks

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PubMed

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https://pubmed.ncbi.nlm.nih.gov/17263881

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12 December 2020

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Automated segmentation, classification, and tracking of cancer cell nuclei in time-lapse microscopy.

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12 December 2020

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A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression.

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https://pubmed.ncbi.nlm.nih.gov/17263881

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12 December 2020

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Weighted-support vector machines for predicting membrane protein types based on pseudo-amino acid composition.

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PubMed

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https://pubmed.ncbi.nlm.nih.gov/17263881

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12 December 2020

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Automated recognition of patterns characteristic of subcellular structures in fluorescence microscopy images

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PubMed

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https://pubmed.ncbi.nlm.nih.gov/17263881

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12 December 2020

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A computerized cellular imaging system for high content analysis in Monastrol suppressor screens

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PubMed

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https://pubmed.ncbi.nlm.nih.gov/17263881

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12 December 2020

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Image analysis for automatic segmentation of cytoplasms and classification of Rac1 activation.

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https://pubmed.ncbi.nlm.nih.gov/17263881

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12 December 2020

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DOI

10.1186/1471-2105-8-32

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journals/bmcbi/WangZKW07

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DBLP Dataset 2021-01-02

retrieved

28 January 2021

Dimensions Publication ID

1043435898

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PMC publication ID

1800869

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PubMed publication ID

17263881

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(Q59637381)

Context based mixture model for cell phase identification in automated fluorescence microscopy

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