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Full-Text Articles in Life Sciences

Ontology Driven Semantic Provenance For Heterogeneous Bionomics Experimental Data, Satya S. Sahoo, Michael L. Raymer, Cory Andrew Henson, Amit P. Sheth, William S. York Jan 2008

Ontology Driven Semantic Provenance For Heterogeneous Bionomics Experimental Data, Satya S. Sahoo, Michael L. Raymer, Cory Andrew Henson, Amit P. Sheth, William S. York

Kno.e.sis Publications

Scientific experimental data generated by all the bionomic technologies is characterized by heterogeneity in its representation formats, constituents, and generation processes and, therefore, also in its usage. Using the proteomics domain we demonstrate the important role of provenance information o manage, interpret and analyze experimental data. We present a novel approach that employs an ontology as a knowledge model to automatically create semantic provenance information for high-throughput mass spectrometry (MS) data in the glycoproteomics domain. The Semantic Provenance Annotation of Data in protEomics (SPADE) implementation is based on the ProPreO ontology, a large-process ontology ( ~500 classes, 40 named relationships …


Evaluation Of Cortisol And Dhea As Biomarkers For Stress, Jennifer A. Smith Jan 2008

Evaluation Of Cortisol And Dhea As Biomarkers For Stress, Jennifer A. Smith

Seton Hall University Dissertations and Theses (ETDs)

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Evaluating Salivary Alpha-Amylase As A Biomarker Fro Stress, Denise L. Alfano Jan 2008

Evaluating Salivary Alpha-Amylase As A Biomarker Fro Stress, Denise L. Alfano

Seton Hall University Dissertations and Theses (ETDs)

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Maldi Mass Spectrometry Imaging For The Discovery Of Prostate Carcinoma Biomarkers, Lisa Harris Cazares Jan 2008

Maldi Mass Spectrometry Imaging For The Discovery Of Prostate Carcinoma Biomarkers, Lisa Harris Cazares

Theses and Dissertations in Biomedical Sciences

The elucidation of new biological markers of prostate cancer (PCa) should aid in the detection, and prognosis of this disease. Diagnostic decision making by pathologists in prostate cancer is highly dependent on tissue morphology. The ability to localize disease-specific molecular changes in tissue would help improve this critical pathology decision making process. Direct profiling of proteins in tissue sections using MALDI imaging mass spectrometry (MALDI-IMS) has the power to link molecular detail to morphological and pathological changes, enhancing the ability to identify candidates for new specific biomarkers. However, critical questions remain regarding the integration of this technique with clinical decision …