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Full-Text Articles in Medicine and Health Sciences

Data Mining The Functional Characterizations Of Proteins To Predict Their Cancer-Relatedness, Peter Revesz, Christopher Assi Feb 2013

Data Mining The Functional Characterizations Of Proteins To Predict Their Cancer-Relatedness, Peter Revesz, Christopher Assi

School of Computing: Faculty Publications

This paper considers two types of protein data. First, data about protein function described in a number of ways, such as, GO terms and PFAM families. Second, data about whether individual proteins are experimentally associated with cancer by an anomalous elevation or lowering of their expressions within cancerous cells. We combine these two types of protein data and test whether the first type of data, that is, the functional descriptors, can predict the second type of data, that is, cancer-relatedness. By using data mining and machine learning, we derive a classifier algorithm that using only GO term and PFAM family …


Development Of A Diagnostic Test Set To Assess Agreement In Breast Pathology: Practical Application Of The Guidelines For Reporting Reliability And Agreement Studies (Grras), Natalia V. Oster, Patricia A. Carney, Kimberly H. Allison, Donald L. Weaver, Lisa Reisch, Gary Longton, Tracy Onega Feb 2013

Development Of A Diagnostic Test Set To Assess Agreement In Breast Pathology: Practical Application Of The Guidelines For Reporting Reliability And Agreement Studies (Grras), Natalia V. Oster, Patricia A. Carney, Kimberly H. Allison, Donald L. Weaver, Lisa Reisch, Gary Longton, Tracy Onega

Dartmouth Scholarship

Diagnostic test sets are a valuable research tool that contributes importantly to the validity and reliability of studies that assess agreement in breast pathology. In order to fully understand the strengths and weaknesses of any agreement and reliability study, however, the methods should be fully reported. In this paper we provide a step-by-step description of the methods used to create four complex test sets for a study of diagnostic agreement among pathologists interpreting breast biopsy specimens. We use the newly developed Guidelines for Reporting Reliability and Agreement Studies (GRRAS) as a basis to report these methods.


Potentials Of Plasma Ngal And Mic-1 As Biomarker(S) In The Diagnosis Of Lethal Pancreatic Cancer., Sukhwinder Kaur, Subhankar Chakraborty, Michael J. Baine, Kavita Mallya, Lynette M. Smith, Aaron Sasson, Randall Brand, Sushovan Guha, Maneesh Jain, Uwe Wittel, Shailender K. Singh, Surinder K. Batra Feb 2013

Potentials Of Plasma Ngal And Mic-1 As Biomarker(S) In The Diagnosis Of Lethal Pancreatic Cancer., Sukhwinder Kaur, Subhankar Chakraborty, Michael J. Baine, Kavita Mallya, Lynette M. Smith, Aaron Sasson, Randall Brand, Sushovan Guha, Maneesh Jain, Uwe Wittel, Shailender K. Singh, Surinder K. Batra

Journal Articles: Biochemistry & Molecular Biology

Pancreatic cancer (PC) is lethal malignancy with very high mortality rate. Absence of sensitive and specific marker(s) is one of the major factors for poor prognosis of PC patients. In pilot studies using small set of patients, secreted acute phase proteins neutrophil gelatinase associated lipocalin (NGAL) and TGF-β family member macrophage inhibitory cytokine-1 (MIC-1) are proposed as most potential biomarkers specifically elevated in the blood of PC patients. However, their performance as diagnostic markers for PC, particularly in pre-treatment patients, remains unknown. In order to evaluate the diagnostic efficacy of NGAL and MIC-1, their levels were measured in plasma samples …


Can Plasma-Free Dna Concentration Be A Diagnostic Tool In Critically Ill Septic Patients?, Başak Ceyda Meço, Fatma Handan Cuhruk, Melek Tulunay, Mehmet Oral, Mustafa Necmetti̇n Ünal Jan 2013

Can Plasma-Free Dna Concentration Be A Diagnostic Tool In Critically Ill Septic Patients?, Başak Ceyda Meço, Fatma Handan Cuhruk, Melek Tulunay, Mehmet Oral, Mustafa Necmetti̇n Ünal

Turkish Journal of Medical Sciences

To investigate the diagnostic value of plasma-free DNA concentration (PF-DNA) in septic patients compared to nonseptic patients and to correlate it with clinical outcome. Materials and methods: Forty-two mechanically ventilated consecutive patients (11 septic, 31 nonseptic) admitted to the intensive care unit (ICU) were recruited. On admission, besides PF-DNA concentration, APACHE II and SOFA scores and serum C-reactive protein (CRP), procalcitonin (PCT), and serum lipid concentrations, together with clinical outcome, were assessed. Plasma samples from 11 volunteers were also collected. Appropriate statistics were used for analysis. Results: Median PF-DNA concentrations on admission were significantly higher in septic patients compared to …