DOI: 10.1093/bioinformatics/btp524. CellClassifier: supervised learning of cellular phenotypes

CellClassifier: supervised learning of cellular phenotypes

10.1093/bioinformatics/btp524

Crossref journal-article

Oxford University Press (OUP)

Bioinformatics (286)

Abstract

Abstract Summary:CellClassifier is a tool for classifying single-cell phenotypes in microscope images. It includes several unique and user-friendly features for classification using multiclass support vector machines Availability: Source code, user manual and SaveObjectSegmentation CellProfiler module available for download at www.cellclassifier.ethz.ch under the GPL license (implemented in Matlab). Contact: pelkmans@imsb.biol.ethz.ch Supplementary information: Supplementary data are available at Bioinformatics online.

Bibliography

RÃ¤mÃ¶, P., Sacher, R., Snijder, B., Begemann, B., & Pelkmans, L. (2009). CellClassifier: supervised learning of cellular phenotypes. Bioinformatics, 25(22), 3028â3030.

Authors 5

Pauli Rämö (first)
Raphael Sacher (additional)
Berend Snijder (additional)
Boris Begemann (additional)
Lucas Pelkmans (additional)

References 12 Referenced 78

10.1126/science.1140324 / Science / Quantitative morphological signatures define local signaling networks regulating cell morphology by Bakal (2007)
10.1093/bioinformatics/17.12.1213 / Bioinformatics / A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells by Boland (2001)
10.1186/gb-2006-7-7-r66 / Genome Biol. / Analysis of cell-based RNAi screens by Boutros (2006)
10.1186/gb-2006-7-10-r100 / Genome Biol / CellProfiler: image analysis software for identifying and quantifying cell phenotypes by Carpenter (2006)
10.1145/1143844.1143865 / Proceedings of the 23rd International Conference on Machine Learning / An empirical comparison of supervised learning algorithms by Caruana (2006)
{'key': '2023013112155403300_B6', 'article-title': 'Pattern recognition Toolbox for Matlab', 'volume-title': 'MSc Thesis.', 'author': 'Franc', 'year': '2000'} / MSc Thesis. / Pattern recognition Toolbox for Matlab by Franc (2000)
10.1186/1471-2105-9-482 / BMC Bioinformatics / CellProfiler analyst: data exploration and analysis software for complex image-based screens by Jones (2008)
10.1038/nature03571 / Nature / Genome-wide analysis of human kinases in clathrin- and caveolae/raft-mediated endocytosis by Pelkmans (2005)
10.1016/j.ceb.2008.06.002 / Curr. Opin. Cell. Biol / Lessons from genetics: interpreting complex phenotypes in RNAi screens by Sacher (2008)
10.1007/978-94-017-3217-8 / Ten Lectures on the Statistical and Structural Pattern Recognition. by Schlesinger (2002)
10.1038/nature08282 / Nature / Population context determines cell-to-cell variability in endocytosis and virus infection by Snijder (2009)
10.1038/nchembio.2007.53 / Nat. Chem. Biol / Integrating high-content screening and ligand-target prediction to identify mechanism of action by Young (2008)

Dates

Type	When
Created	15 years, 11 months ago (Sept. 3, 2009, 8:19 p.m.)
Deposited	2 years, 7 months ago (Jan. 31, 2023, 4:54 p.m.)
Indexed	1 year, 1 month ago (July 8, 2024, 1:51 a.m.)
Issued	16 years ago (Sept. 2, 2009)
Published	16 years ago (Sept. 2, 2009)
Published Online	16 years ago (Sept. 2, 2009)
Published Print	15 years, 9 months ago (Nov. 15, 2009)

Funders 0

None

BibTeX

@article{R_m__2009, title={CellClassifier: supervised learning of cellular phenotypes}, volume={25}, ISSN={1367-4803}, url={http://dx.doi.org/10.1093/bioinformatics/btp524}, DOI={10.1093/bioinformatics/btp524}, number={22}, journal={Bioinformatics}, publisher={Oxford University Press (OUP)}, author={Rämö, Pauli and Sacher, Raphael and Snijder, Berend and Begemann, Boris and Pelkmans, Lucas}, year={2009}, month=sep, pages={3028–3030} }

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