Automated Interpretation of Protein Subcellular Location Patterns
- 1 January 2006
- book chapter
- Published by Elsevier
- Vol. 249, 193-227
- https://doi.org/10.1016/s0074-7696(06)49004-5
Abstract
No abstract availableKeywords
This publication has 58 references indexed in Scilit:
- Subcellular Localization Determines the Protective Effects of Activated ERK2 against Distinct Apoptogenic Stimuli in Myeloid Leukemia CellsJournal of Biological Chemistry, 2004
- Automatic Identification of Subcellular Phenotypes on Human Cell ArraysGenome Research, 2004
- Location proteomics: building subcellular location trees from high-resolution 3D fluorescence microscope images of randomly tagged proteinsPublished by SPIE-Intl Soc Optical Eng ,2003
- To 5D and Beyond: Quantitative Fluorescence Microscopy in the Postgenomic EraTraffic, 2002
- Automated Recognition of Intracellular Organelles in Confocal Microscope ImagesTraffic, 2002
- Multicolor Laser Scanning Confocal Immunofluorescence Microscopy: Practical Application and LimitationsPublished by Elsevier ,2002
- A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cellsBioinformatics, 2001
- Segmentation of nuclei and cells using membrane related protein markersJournal of Microscopy, 2001
- Objective Clustering of Proteins Based on Subcellular Location PatternsBioMed Research International, 2000
- Automated recognition of patterns characteristic of subcellular structures in fluorescence microscopy imagesCytometry, 1998