Protein spot detection and quantification in 2-DE gel images using machine-learning methods-Reference-Cited by-同舟云学术

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Protein spot detection and quantification in 2-DE gel images using machine-learning methods

Published:2011-04-18 Issue:10 Volume:11 Page:2038-2050
ISSN:1615-9853
Container-title:PROTEOMICS
language:en
Short-container-title:Proteomics

Author:

Tsakanikas Panagiotis,Manolakos Elias S.

Funder

Research Grant “Program of Human Research Manpower Reinforcement”

Greek General Secretariat of Research and Technology and EU funds

EU FP7 Regpot grant TranSMed

Publisher

Wiley

Subject

Molecular Biology,Biochemistry

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/pmic.201000601/fullpdf

Reference33 articles.

1. Dowsey , A. W. High-throughput image analysis for proteomics 2005

2. Quantitative comparison and evaluation of two commercially available, two-dimensional electrophoresis image analysis software packages, Z3 and Melanie;Raman;Electrophoresis,2002

3. Point pattern matching in the analysis of two-dimensional gel electropherograms;Panek;Electrophoresis,1999

4. New algorithmic approaches to protein spot detection and pattern matching in two-dimensional electrophoresis gel databases;Pleissner;Electrophoresis,1999

5. An alternative approach to deal with geometric uncertainties in computer analysis of two-dimensional electrophoresis gels;Hoffmann;Electrophoresis,2000

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1. Two-Dimensional Gel;Methods in Molecular Biology;2021

2. Revisit of Machine Learning Supported Biological and Biomedical Studies;Methods in Molecular Biology;2018

3. 2D-DIGE and Fluorescence Image Analysis;Methods in Molecular Biology;2017-10-11

4. Image analysis driven single-cell analytics for systems microbiology;BMC Systems Biology;2017-04-04

5. Mixture Modeling of 2-D Gel Electrophoresis Spots Enhances the Performance of Spot Detection;IEEE Transactions on NanoBioscience;2017-03

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