FEature Space Transformation For Semi-Supervised Learning For Protein Subcellular Localization In Fluorescence Microscopy Images

Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009

Volumn , Issue , 2009, Pages 414-417

  Lin, Yu Shi ^a,b   Huang, Yi Hung ^a   Lin, Chung Chih ^c   Hsu, Chun Nan ^a  

^a INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^c NATIONAL YANG MING UNIVERSITY   (Taiwan)

Author keywords

Biological cells; Biomedical image processing; Learning systems; Object recognition; Unsupervised learning

Indexed keywords

BIOLOGICAL CELLS; BIOMEDICAL IMAGE PROCESSING; CELL IMAGES; FEATURE SPACE; FLUORESCENCE MICROSCOPY IMAGES; FUSION PROTEINS; PROTEIN SUBCELLULAR LOCALIZATION; RAPID ACQUISITION; SEMI-SUPERVISED LEARNING; SPECTRAL GRAPH THEORY; SUBCELLULAR LOCALIZATIONS; SUBCELLULAR ORGANELLES;

FLUORESCENCE; FLUORESCENCE MICROSCOPY; IMAGING SYSTEMS; OBJECT RECOGNITION; SUPERVISED LEARNING; UNSUPERVISED LEARNING;

EDUCATION;

EID: 70449341843     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2009.5193072     Document Type: Conference Paper

References (11)

1. Kai Huang and Robert F. Murphy, "Boosting accuracy of automated classification of fluorescence microscope images for location proteomics", BMC Bioinformatics, vol. 5:78, 2004.
2. Chung-Chih Lin, Yuh-Show Tsai, Yu-Shi Lin, Tai-Yu Chiu, Chia-ChengHsiung, May-I. Lee, Jeremy C. Simpson, and Chun-Nan Hsu, "Boosting multiclass learning with repeating codes and weak detectors for protein subcellular localization", Bioinformatics, vol. 23, no. 24, pp. 3374-3381, 2007.
3. Amina Chebira, Yann Barbotin, Charles Jackson, Thomas Merryman, Gowri Srinivasa, Robert F. Murphy, and Jelena Kovačević, "A multiresolution approach to automated classification of protein subcellular location images.", BMC Bioinformatics, vol. 8:210, 2007.
4. Xiang Chen and Robert F. Murphy, "Interpretation of protein subcellular location patterns in 3d images across cell types and resolutions.", Lectures Notes in Bioinformatics, vol. 4414, pp. 328-342, 2007.
5. Mikhail Belkin and Partha Niyogi, "Using manifold structure for partially labelled classification", in Advances in NIPS, vol. 15, 2003.
6. Xiaojin Zhu, Zoubin Ghahramani, and John Lafferty, "Semi-supervised learning using gaussian fields and harmonic functions", in Proceeding of the Twentieth International Conference on Machine Learning(ICML-2003), Washington DC, 2003, vol. 20.
7. Hsun-Hsien Chang, José M. F. Moura, Yijen L.Wu, and Chien Ho, "Immune cells detection of the in vivo rejecting heart in uspio-enhanced magnetic resonance imaging", Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE, pp. 942-945, September 2006.
8. Hsun-Hsien Chang and JoséM. F. Moura, "Classification by cheeger constant regularization", Image Processing, 2007. ICIP 2007. IEEE International Conference on, vol. 2, pp. II -209-II -212, October 2007.
9. Fan R. K. Chung, Spectral Graph Theory, CBMS Regional Conference Series in Mathematics. American Mathematical Society, 1997.
10. Michael V. Boland, Mia K. Markey, and Robert F. Murphy, "Automated classification of cellular protein localization patterns obtained via fluorescence microscopy.", in Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1997, pp. 594-597.
11. Yu-Shi Lin, Chung-Chi Lin, Yuh-Show Tsai, Tien- Chuan Ku, Yi-Hung Huang, and Chun-Nan Hsu, "Reweighting graph links for quantifying difference", in Poster presentation in NIPS 2008 Workshop on Analyzing Graphs: Theory and Applications, 2008.