(Q51901985)

17 April 2018

title

Automated learning of generative models for subcellular location: building blocks for systems biology. (English)

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17 April 2018

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Ting Zhao

1

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17 April 2018

Robert F Murphy

series ordinal

2

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17 April 2018

publication date

1 December 2007

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17 April 2018

published in

Cytometry Part A

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17 April 2018

volume

71

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17 April 2018

page(s)

978-990

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17 April 2018

issue

12

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17 April 2018

Texture analysis of fluorescence lifetime images of AT- and GC-rich regions in nuclei.

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Prediction and classification of protein subcellular location-sequence-order effect and pseudo amino acid composition

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Prediction of protein subcellular locations by support vector machines using compositions of amino acids and amino acid pairs.

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Application of pseudo amino acid composition for predicting protein subcellular location: stochastic signal processing approach.

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Automated interpretation of subcellular patterns in fluorescence microscope images for location proteomics

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Automated subcellular location determination and high-throughput microscopy

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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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Objective clustering of proteins based on subcellular location patterns

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7 January 2021

Large scale hierarchical clustering of protein sequences

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7 January 2021

Use of a database of structural alignments and phylogenetic trees in investigating the relationship between sequence and structural variability among homologous proteins

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7 January 2021

The Virtual Cell: a software environment for computational cell biology

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7 January 2021

Evidence for ectopic neurotransmission at a neuronal synapse

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7 January 2021

Boosting accuracy of automated classification of fluorescence microscope images for location proteomics

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7 January 2021

Engineering gene expression and protein synthesis by modulation of nuclear shape

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7 January 2021

Biological shape and visual science (part I)

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7 January 2021

Nuclear texture analysis: a new prognostic tool in metastatic prostate cancer

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7 January 2021

A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients

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Active Shape Models-Their Training and Application

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7 January 2021

Object type recognition for automated analysis of protein subcellular location

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7 January 2021

Large-scale automated analysis of location patterns in randomly tagged 3T3 cells.

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7 January 2021

Analyzing proteome topology and function by automated multidimensional fluorescence microscopy

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7 January 2021

The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models

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CellML: its future, present and past

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7 January 2021

Identifiers

DOI

10.1002/CYTO.A.20487

1 reference

17 April 2018

PubMed ID

17972315

1 reference

17 April 2018