نتایج جستجو برای: disease gene prediction

تعداد نتایج: 2663465  

Breast cancer is a complex genetic disease that has an average annual incidence of two million people and the second leading cause of death among women all over the world. Micro-RNAs are consistently reported to regulate gene expression in all cancers. The present study, the correlation between the expression of hsa-miR-490-5p and nuclear factor of activated T-cells 5 (NFAT5) in breast cancer w...

Journal: :medical journal of islamic republic of iran 0
reza tabrizi health policy research center, shiraz university of medical sciences, shiraz, iran. farzaneh zolala regional knowledge hub of hiv/aids surveillance, institute for futures studies in health, kerman university of medical sciences, kerman, iran. maryam nasirian regional knowledge hub of hiv/aids surveillance, institute for futures studies in health, kerman university of medical scienc-es, kerman, iran. mohammad reza baneshi research centre for modeling in health, institute for futures studies in health, kerman university of medical sciences, kerman, iran. abbas etminan nephrology department, department of internal medicine, school of medicine, kerman university of medical sciences, kerman, iran. eghbal sekhavati larestan school of medical sciences, laretsan, iran.

background: chronic kidney disease is asymptomatic until its last stages and though it is increasing globally, we are faced with paucity of a population-based model to assess this disease, particularly in developing countries. therefore, the aim of this study was to estimate the prevalence and trends of ckd according to a new estimation method.   methods: using multiplier method, we estimated t...

Journal: :medical journal of islamic republic of iran 0
reza tabrizi health policy research center, shiraz university of medical sciences, shiraz, iran.سازمان اصلی تایید شده: دانشگاه علوم پزشکی شیراز (shiraz university of medical sciences) farzaneh zolala regional knowledge hub of hiv/aids surveillance, institute for futures studies in health, kerman university of medical sciences, kerman, iran.سازمان اصلی تایید شده: دانشگاه علوم پزشکی کرمان (kerman university of medical sciences) maryam nasirian regional knowledge hub of hiv/aids surveillance, institute for futures studies in health, kerman university of medical scienc-es, kerman, iran. mohammad reza baneshi research centre for modeling in health, institute for futures studies in health, kerman university of medical sciences, kerman, iran.سازمان اصلی تایید شده: دانشگاه علوم پزشکی کرمان (kerman university of medical sciences) abbas etminan nephrology department, department of internal medicine, school of medicine, kerman university of medical sciences, kerman, iran.سازمان اصلی تایید شده: دانشگاه علوم پزشکی کرمان (kerman university of medical sciences) eghbal sekhavati larestan school of medical sciences, laretsan, iran.

background: chronic kidney disease is asymptomatic until its last stages and though it is increasing globally, we are faced with paucity of a population-based model to assess this disease, particularly in developing countries. therefore, the aim of this study was to estimate the prevalence and trends of ckd according to a new estimation method.   methods: using multiplier method, we estimated t...

2017
Mathias Ernst Yang Du Gregor Warsow Mohamed Hamed Nicole Endlich Karlhans Endlich Hugo Murua Escobar Lisa-Madeleine Sklarz Sina Sender Christian Junghanß Steffen Möller Georg Fuellen Stephan Struckmann

To identify genes contributing to disease phenotypes remains a challenge for bioinformatics. Static knowledge on biological networks is often combined with the dynamics observed in gene expression levels over disease development, to find markers for diagnostics and therapy, and also putative disease-modulatory drug targets and drugs. The basis of current methods ranges from a focus on expressio...

2011
Peng Gang Sun Lin Gao Shan Han

Since genes associated with similar diseases/disorders show an increased tendency for their protein products to interact with each other through protein-protein interactions (PPI), clustering analysis obviously as an efficient technique can be easily used to predict human disease-related gene clusters/subnetworks. Firstly, we used clustering algorithms, Markov cluster algorithm (MCL), Molecular...

2011
David K. Crockett Stephen R. Piccolo Perry G. Ridge Rebecca L. Margraf Elaine Lyon Marc S. Williams Joyce A. Mitchell

Although reported gene variants in the RET oncogene have been directly associated with multiple endocrine neoplasia type 2 and hereditary medullary thyroid carcinoma, other mutations are classified as variants of uncertain significance (VUS) until the associated clinical phenotype is made clear. Currently, some 46 non-synonymous VUS entries exist in curated archives. In the absence of a gold st...

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