메뉴 건너뛰기




Volumn 7, Issue 11, 2012, Pages

Automated Analysis and Reannotation of Subcellular Locations in Confocal Images from the Human Protein Atlas

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; AUTOMATION; CELLULAR DISTRIBUTION; CLASSIFIER; CLUSTER ANALYSIS; IMAGE ANALYSIS; IMMUNOFLUORESCENCE; INFORMATION PROCESSING; PROTEIN DATABASE; PROTEIN LOCALIZATION;

EID: 84870595917     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0050514     Document Type: Article
Times cited : (32)

References (19)
  • 1
    • 33745948356 scopus 로고    scopus 로고
    • Automated Interpretation of Subcellular Patterns in Fluorescence Microscope Images for Location Proteomics
    • Chen X, Velliste M, Murphy RF, (2006) Automated Interpretation of Subcellular Patterns in Fluorescence Microscope Images for Location Proteomics. Cytometry 69A: 631-640.
    • (2006) Cytometry , vol.69 A , pp. 631-640
    • Chen, X.1    Velliste, M.2    Murphy, R.F.3
  • 2
    • 33845760114 scopus 로고    scopus 로고
    • Automated Subcellular Location Determination and High Throughput Microscopy
    • Glory E, Murphy RF, (2007) Automated Subcellular Location Determination and High Throughput Microscopy. Developmental Cell 12: 7-16.
    • (2007) Developmental Cell , vol.12 , pp. 7-16
    • Glory, E.1    Murphy, R.F.2
  • 3
    • 0036139314 scopus 로고    scopus 로고
    • A Neural Network Classifier Capable of Recognizing the Patterns of all Major Subcellular Structures in Fluorescence Microscope Images of HeLa Cells
    • Boland MV, Murphy RF, (2001) A Neural Network Classifier Capable of Recognizing the Patterns of all Major Subcellular Structures in Fluorescence Microscope Images of HeLa Cells. Bioinformatics 17: 1213-1223.
    • (2001) Bioinformatics , vol.17 , pp. 1213-1223
    • Boland, M.V.1    Murphy, R.F.2
  • 4
    • 39749153580 scopus 로고    scopus 로고
    • Visualizing and clustering high throughput sub-cellular localization imaging
    • Hamilton NA, Teasdale RD, (2008) Visualizing and clustering high throughput sub-cellular localization imaging. BMC Bioinformatics 9: 81.
    • (2008) BMC Bioinformatics , vol.9 , pp. 81
    • Hamilton, N.A.1    Teasdale, R.D.2
  • 8
    • 34547830883 scopus 로고    scopus 로고
    • Automated Image Analysis of Protein Localization in Budding Yeast
    • Chen SC, Zhao T, Gordon GJ, Murphy RF, (2007) Automated Image Analysis of Protein Localization in Budding Yeast. Bioinformatics 23: i66-i71.
    • (2007) Bioinformatics , vol.23
    • Chen, S.C.1    Zhao, T.2    Gordon, G.J.3    Murphy, R.F.4
  • 9
    • 49849090542 scopus 로고    scopus 로고
    • A Framework for the Automated Analysis of Subcellular Patterns in Human Protein Atlas Images
    • Newberg JY, Murphy RF, (2008) A Framework for the Automated Analysis of Subcellular Patterns in Human Protein Atlas Images. J. Proteome Res. 7: 2300-2308.
    • (2008) J. Proteome Res. , vol.7 , pp. 2300-2308
    • Newberg, J.Y.1    Murphy, R.F.2
  • 10
    • 29244477844 scopus 로고    scopus 로고
    • A human protein atlas for normal and cancer tissues based on antibody proteomics
    • Uhlén M, Björling E, Agaton C, Szigyarto CA, Amini B, et al. (2005) A human protein atlas for normal and cancer tissues based on antibody proteomics. Mol. Cell. Proteomics 4: 1920-1932.
    • (2005) Mol. Cell. Proteomics , vol.4 , pp. 1920-1932
    • Uhlén, M.1    Björling, E.2    Agaton, C.3    Szigyarto, C.A.4    Amini, B.5
  • 13
    • 77649263885 scopus 로고    scopus 로고
    • Automated Unmixing Of Subcellular Patterns: Determining the Distribution of Probes Between Different Subcellular Locations
    • Peng T, Bonamy GMC, Glory E, Rines D, Chanda SK, et al. (2010) Automated Unmixing Of Subcellular Patterns: Determining the Distribution of Probes Between Different Subcellular Locations. Proc. Natl. Acad. Sci. U.S.A. 107: 2944-2949.
    • (2010) Proc. Natl. Acad. Sci. U.S.A , vol.107 , pp. 2944-2949
    • Peng, T.1    Bonamy, G.M.C.2    Glory, E.3    Rines, D.4    Chanda, S.K.5
  • 14
    • 77954179297 scopus 로고    scopus 로고
    • Quantifying the distribution of probes between subcellular locations using unsupervised pattern unmixing
    • Coelho LP, Peng T, Murphy RF, (2010) Quantifying the distribution of probes between subcellular locations using unsupervised pattern unmixing. Bioinformatics 26: i7-i12.
    • (2010) Bioinformatics , vol.26
    • Coelho, L.P.1    Peng, T.2    Murphy, R.F.3
  • 15
    • 0033284915 scopus 로고    scopus 로고
    • Object recognition from local scale-invariant features
    • Lowe DG, (1999) Object recognition from local scale-invariant features. Proc. Intl. Conf Computer Vision 2: 1150-1157.
    • (1999) Proc. Intl. Conf Computer Vision , vol.2 , pp. 1150-1157
    • Lowe, D.G.1
  • 16
    • 0242628975 scopus 로고    scopus 로고
    • Feature reduction for improved recognition of subcellular location patterns in fluorescence microscope images
    • Huang K, Velliste M, Murphy RF, (2003) Feature reduction for improved recognition of subcellular location patterns in fluorescence microscope images. Proc. SPIE 4962: 307-318.
    • (2003) Proc. SPIE , vol.4962 , pp. 307-318
    • Huang, K.1    Velliste, M.2    Murphy, R.F.3
  • 18
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman L, (2001) Random forests. Machine Learning 45: 5-32.
    • (2001) Machine Learning , vol.45 , pp. 5-32
    • Breiman, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.