Literature DB >> 19729371

CellClassifier: supervised learning of cellular phenotypes.

Pauli Rämö1, Raphael Sacher, Berend Snijder, Boris Begemann, Lucas Pelkmans.   

Abstract

UNLABELLED: 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).

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Year:  2009        PMID： 19729371     DOI： 10.1093/bioinformatics/btp524

Source DB:  PubMed          Journal:  Bioinformatics        ISSN： 1367-4803            Impact factor:   6.937


  39 in total

1.  Image-based transcriptomics in thousands of single human cells at single-molecule resolution.

Authors:  Nico Battich; Thomas Stoeger; Lucas Pelkmans
Journal:  Nat Methods       Date:  2013-10-06       Impact factor: 28.547

2.  Cellular heterogeneity: do differences make a difference?

Authors:  Steven J Altschuler; Lani F Wu
Journal:  Cell       Date:  2010-05-14       Impact factor: 41.582

3.  Cell-intrinsic adaptation of lipid composition to local crowding drives social behaviour.

Authors:  Mathieu Frechin; Thomas Stoeger; Stephan Daetwyler; Charlotte Gehin; Nico Battich; Eva-Maria Damm; Lilli Stergiou; Howard Riezman; Lucas Pelkmans
Journal:  Nature       Date:  2015-05-25       Impact factor: 49.962

4.  Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software.

Authors:  Lee Kamentsky; Thouis R Jones; Adam Fraser; Mark-Anthony Bray; David J Logan; Katherine L Madden; Vebjorn Ljosa; Curtis Rueden; Kevin W Eliceiri; Anne E Carpenter
Journal:  Bioinformatics       Date:  2011-02-23       Impact factor: 6.937

Review 5.  Origins of regulated cell-to-cell variability.

Authors:  Berend Snijder; Lucas Pelkmans
Journal:  Nat Rev Mol Cell Biol       Date:  2011-01-12       Impact factor: 94.444

Review 6.  Single-cell and multivariate approaches in genetic perturbation screens.

Authors:  Prisca Liberali; Berend Snijder; Lucas Pelkmans
Journal:  Nat Rev Genet       Date:  2014-12-02       Impact factor: 53.242

7.  SuperCT: a supervised-learning framework for enhanced characterization of single-cell transcriptomic profiles.

Authors:  Peng Xie; Mingxuan Gao; Chunming Wang; Jianfei Zhang; Pawan Noel; Chaoyong Yang; Daniel Von Hoff; Haiyong Han; Michael Q Zhang; Wei Lin
Journal:  Nucleic Acids Res       Date:  2019-05-07       Impact factor: 16.971

8.  Automated Microscopic Analysis of Metal Sulfide Colonization by Acidophilic Microorganisms.

Authors:  Sören Bellenberg; Antoine Buetti-Dinh; Vanni Galli; Olga Ilie; Malte Herold; Stephan Christel; Mariia Boretska; Igor V Pivkin; Paul Wilmes; Wolfgang Sand; Mario Vera; Mark Dopson
Journal:  Appl Environ Microbiol       Date:  2018-10-01       Impact factor: 4.792

Review 9.  Automated microscopy for high-content RNAi screening.

Authors:  Christian Conrad; Daniel W Gerlich
Journal:  J Cell Biol       Date:  2010-02-22       Impact factor: 10.539

10.  Trajectories of cell-cycle progression from fixed cell populations.

Authors:  Gabriele Gut; Michelle D Tadmor; Dana Pe'er; Lucas Pelkmans; Prisca Liberali
Journal:  Nat Methods       Date:  2015-08-24       Impact factor: 28.547
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