Diagnostic pathology and laboratory medicine in the age of "omics": a paper from the 2006 William Beaumont Hospital Symposium on Molecular Pathology.
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[1] W. Finn,et al. Laboratory hematology practice: present and future. , 2004, Cancer treatment and research.
[2] Daniel Haley,et al. Polychromatic flow cytometry: A rapid method for the reduction and analysis of complex multiparameter data , 2006, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[3] J. Tchinda,et al. Recurrent Fusion of TMPRSS2 and ETS Transcription Factor Genes in Prostate Cancer , 2005, Science.
[4] W. Finn,et al. Unsupervised immunophenotypic profiling of chronic lymphocytic leukemia , 2006, Cytometry. Part B, Clinical cytometry.
[5] Shuicheng Yan,et al. Graph Embedding and Extensions: A General Framework for Dimensionality Reduction , 2007 .
[6] David J. Foran,et al. Unsupervised imaging, registration and archiving of tissue microarrays , 2002, AMIA.
[7] M. Roederer,et al. Probability binning comparison: a metric for quantitating univariate distribution differences. , 2001, Cytometry.
[8] Dorin Comaniciu,et al. Computer-assisted discrimination among malignant lymphomas and leukemia using immunophenotyping, intelligent image repositories, and telemicroscopy , 2000, IEEE Transactions on Information Technology in Biomedicine.
[9] Fred R. Dee,et al. Implementation of virtual microscope slides in the annual pathobiology of cancer workshop laboratory. , 2003, Human pathology.
[10] H. Tanke,et al. Gating of the so-called 'lymphocytic' cell population for the quantification of natural killer cells (CD16+) by flow cytometry causes loss of CD16 positive cells. , 1990, Journal of immunological methods.
[11] William G. Finn,et al. Laboratory Hematology Practice , 2012 .
[12] Rainer Spang,et al. Automated in-silico detection of cell populations in flow cytometry readouts and its application to leukemia disease monitoring , 2006, BMC Bioinformatics.
[13] Mikael Lundin,et al. Web-based virtual microscopy in teaching and standardizing Gleason grading. , 2005, Human pathology.
[14] Joel H. Saltz,et al. The virtual microscope. , 2003, IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society.
[15] B. Wood,et al. Using 4-color flow cytometry to identify abnormal myeloid populations. , 2003, Archives of pathology & laboratory medicine.
[16] Robert Pless,et al. Image distance functions for manifold learning , 2007, Image Vis. Comput..
[17] M Roederer,et al. Frequency difference gating: a multivariate method for identifying subsets that differ between samples. , 2001, Cytometry.
[18] A. Witteveen,et al. Converting a breast cancer microarray signature into a high-throughput diagnostic test , 2006, BMC Genomics.
[19] Alfred O. Hero,et al. Classification constrained dimensionality reduction , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[20] Mario Roederer,et al. Dear Reader, , 2003, Nature Medicine.
[21] Alfonso Valencia,et al. Bioinformatics in the human interactome project , 2006, Bioinform..
[22] Mikhail Belkin,et al. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation , 2003, Neural Computation.
[23] S. Dhanasekaran,et al. Delineation of prognostic biomarkers in prostate cancer , 2001, Nature.
[24] Ying Zhang,et al. HMDB: the Human Metabolome Database , 2007, Nucleic Acids Res..
[25] O. Perez,et al. Phospho‐proteomic immune analysis by flow cytometry: from mechanism to translational medicine at the single‐cell level , 2006, Immunological reviews.
[26] Attila Tarnok,et al. Cytomics in predictive medicine , 2003, SPIE BiOS.
[27] J. Mesirov,et al. Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[28] C. Fenselau. A review of quantitative methods for proteomic studies. , 2007, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.
[29] Ash A. Alizadeh,et al. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling , 2000, Nature.
[30] Jianbo Shi,et al. Graph Embedding to Improve Supervised Classification and Novel Class Detection: Application to Prostate Cancer , 2005, MICCAI.
[31] Ravi Sachidanandam,et al. RNAi as a bioinformatics consumer , 2005, Briefings Bioinform..
[32] Dongmei Zhai,et al. A novel data mining method to identify assay-specific signatures in functional genomic studies , 2006, BMC Bioinformatics.
[33] M. Kashgarian. The Contribution of Quantitative Techniques Including Morphometry to Renal Diagnosis , 2006, Ultrastructural pathology.
[34] Debashis Ghosh,et al. Autoantibody signatures in prostate cancer. , 2005, The New England journal of medicine.
[35] C. Larive. Metabonomics, metabolomics, and metabolic profiling , 2007, Analytical and bioanalytical chemistry.
[36] Fred R. Dee,et al. Virtual microscopy for learning and assessment in pathology , 2004, The Journal of pathology.
[37] DNA Microarrays: Implications for Clinical Medicine , 2002, Journal of investigative surgery : the official journal of the Academy of Surgical Research.
[38] M. Borowitz,et al. Immunophenotyping of acute leukemia by flow cytometric analysis. Use of CD45 and right-angle light scatter to gate on leukemic blasts in three-color analysis. , 1993, American journal of clinical pathology.
[39] K. Sachs,et al. Causal Protein-Signaling Networks Derived from Multiparameter Single-Cell Data , 2005, Science.
[40] Arul M Chinnaiyan,et al. Bioinformatics approach leads to the discovery of the TMPRSS2:ETS gene fusion in prostate cancer , 2006, Laboratory Investigation.
[41] S. Kroft. Role of flow cytometry in pediatric hematopathology. , 2004, American journal of clinical pathology.
[42] D. Donoho,et al. Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[43] L. Picker,et al. Immunophenotypic analysis of hematogones (B-lymphocyte precursors) in 662 consecutive bone marrow specimens by 4-color flow cytometry. , 2001, Blood.
[44] Huafeng Xu,et al. A self-organizing principle for learning nonlinear manifolds , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[45] Attila Tárnok,et al. Cytomics in predictive medicine , 2003, Cytometry. Part B, Clinical cytometry.
[46] R C Braylan,et al. Analysis of Lymphomas by Flow Cytometry Current and Emerging Strategies , 1993, Annals of the New York Academy of Sciences.
[47] Hilmar Luthe,et al. AmpliChip CYP450 GeneChip®: A New Gene Chip That Allows Rapid and Accurate CYP2D6 Genotyping , 2006, Therapeutic drug monitoring.
[48] R. Miller,et al. The optimal application of forward and ninety-degree light scatter in flow cytometry for the gating of mononuclear cells. , 1985, Cytometry.
[49] John Lough,et al. Complete and rapid switch from light microscopy to virtual microscopy for teaching medical histology. , 2005, Anatomical record. Part B, New anatomist.