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Mining Of Stroma In Pthology

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  • Histologic Classification of Thymoma: A Practical Guide .

    Pathology, Regina Elena National Cancer Institute, Rome, Italy. . mining factor in the classification of the thymoma. 3,6 In B-type thymoma, the epithelial cells typically have ill-defined pale to . micronodular thymoma with lymphoid stroma and metaplas-tic thymoma (Table .

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  • Dan Mercola - UC Irvine - Faculty Profile System

    Zhu, Jianguo, Cong Pan1, Jun Jiang, Mingsen Deng, Hengjun Gao, Bozhao Men, Michael McClelland, Dan Mercola, Wei-De Zhong and Zhenyu Jia. Six stroma-based RNA markers diagnostic for prostate cancer in European-Americans validated at the RNA and protein levels in patients in China.

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  • Anatomic Pathology – Fingerprint — Case Western Reserve .

    Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated experts. Based on that an index of weighted terms is created, which defines the key subjects of research unit Sort by

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  • Patient Outcomes of Prostate Cancer with Whole Slide Imaging

    Dr. Parwani has expertise in the area of Anatomical Pathology Informatics including design of quality assurance tools, tissue banking informatics, clinical and research data integration and mining .

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    Data mining tools, such as the partition tree and bootstrap forest approaches, suggested that only secular values were influential. Specifically, secular values had a negative relationship with satisfaction.

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  • Tissue Phenomics® | Definiens

    When combined with data mining, Definiens Cognition Network Technology enables the discovery of novel structures and features in tissue slides that are meaningful for scientific progress, medical diagnoses and patient treatments.

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  • Dan Mercola - UC Irvine - Faculty Profile System

    Zhu, Jianguo, Cong Pan1, Jun Jiang, Mingsen Deng, Hengjun Gao, Bozhao Men, Michael McClelland, Dan Mercola, Wei-De Zhong and Zhenyu Jia. Six stroma-based RNA markers diagnostic for prostate cancer in European-Americans validated at the RNA and protein levels in patients in China.

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    gastrointestinal stromal tumors: a study of GEO-data mining and bioinformatics approaches Jie Ma1*, Shu-Ya . Zhi-Gang Peng1*, Chen Gang2 Departments of 1Medical Oncology, 2Pathology, First Affiliated Hospital of Guangxi Medical University, Nanning . of gastrointestinal stromal tumors (GISTs) and to clarify the clinical role of miR-34a in .

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    In prostate cancer, Stuart et al. have used pathology assessments of cell types to train models of gene expression signatures of tumor, stroma, and normal tissue 10. In a follow up study, they used their learned gene lists for in silico estimation of tissue components in a larger set of data 11 .

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    11/8/2015 1 The Art of the Diagnosis Richard Buckley Rutgers University New Jersey Agricultural Experiment Station Rutgers Cooperative Extension School of Environmental and Biological Sciences

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    PATHOLOGY AND EXPERIMENTAL PATHOLOGY Ian Webster . *Sponsored by the State Department of Mines and the Asbestos Mining In- dustry of South Africa. 623 . . stroma appears to consist of reticulin fibers, loosely or compactly arranged, TABLE 1 CASW DIAGNOSED AS MESOTHELIOMA

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    Bio "Mining Big Data for Molecular Marker Detection" Professor Su-In Lee is an Assistant Professor in the Departments of Computer Science & Engineering and Genome Sciences at .

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  • Distinct Effects of Ligand-Induced PDGFRα and PDGFRβ .

    These results are concordant with the biologic processes and pathways identified by data mining. While PDGF-CC/PDGFRα signaling associated with genes involved in the reactivation of developmental programs, PDGF-DD/PDGFRβ signaling related to wound healing and leukocyte differentiation.

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  • Breast-Cancer Stromal Cells with TP53 Mutations and Nodal .

    A laser-capture microdissection technique was used to pluck individual breast-cancer epithelial cells and surrounding stromal cells from pathology slides for studies of the TP53 gene and loss of .

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  • Stromal Clues in Endometrial Carcinoma: Loss of Expression .

    Moreover, SNAIL-SLUG expression was significantly downregulated in the periglandular stroma of EC-associated stromal cells, complex hyperplasia without atypia, and complex atypical hyperplasia compared with that in hyperplasia without atypia and simple hyperplasia without atypica (P<0.01; Figs. 1K, .

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    Morphologic Features of Neuroblastoma (Schwannian Stroma-Poor Tumors) in Clinically Favorable and Unfavorable Groups Inge M. Ambros, M.D. 1 Jun-ichi Hata, M.D. 2

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  • Patient Outcomes of Prostate Cancer with Whole Slide Imaging

    Dr. Parwani has expertise in the area of Anatomical Pathology Informatics including design of quality assurance tools, tissue banking informatics, clinical and research data integration and mining .

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  • Endometrial Intraepithelial Neoplasia

    endometrial intraepithelial neoplasia (EIN)/benign hyper-plasia (BH) provides an easy to adopt and reproducible . surgical pathology, clinical gynecology, and basic science fields. The key to its success lies in the integration of . stroma (which quantifies the amount of stroma in a given area or, by extension, the number of glands); the .

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    Big data, bigger opportunities. It is likely that somewhere between 70–80% of the information in the electronic health record is pathology data ().These data are relatively readily available and represent the collective experience of the pathology profession.

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  • Pathology Faculty Member

    Pathology Division(s): Anatomic Pathology. Email Address: . I am especially interested in the role of the inflammatory stroma in facilitating and promoting phenotypic alterations, such as increased chemotaxis and angioinvasion. . I am also interested in mining the published microarray expression databases in an attempt to identify .

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  • Characterization of cancer stroma markers: In silico .

    The present study was designed to further our understanding of the FAP-alpha and endosialin expression profiles in the context of cancer pathology, and to validate the use of global RNA expression databases for standardized tumor stromal marker analysis.

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  • Comparative proteomic analysis of normal and tumor .

    SHORT REPORT Open Access Comparative proteomic analysis of normal and tumor stromal cells by tissue on chip based mass spectrometry (toc-MS) Niko Escher1, Günther Ernst1, Christian Melle1, Alexander Berndt2, Joachim H Clement3, Kerstin Junker4, Karlheinz Friedrich5, Orlando Guntinas-Lichius6, Ferdinand von Eggeling1* Abstract

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