Introduction: Lack of a proper method for early detection and diagnostic errors in medicine are some fundamental problems in treating cancer. Data analysis techniques may significantly help early diagnosis. The current study aimed at applying and evaluating neural networks and decision tree algorithm on breast cancer patients’ data for early cancer prediction. Methods: In the current stu...

Introduction: Lack of a proper method for early detection and diagnostic errors in medicine are some fundamental problems in treating cancer. Data analysis techniques may significantly help early diagnosis. The current study aimed at applying and evaluating neural networks and decision tree algorithm on breast cancer patients’ data for early cancer prediction. Methods: In the current stu...

Introduction: It is reported that migraine may be risk factor of brain cancers. Since the one of the best ways to assess this possible relationship is molecular mechanism study, here the common central dysregulated proteins between these diseases are investigated via network analysis. Methods: The dysregulated proteins of migraine and gliosarcoma are extracted from STRING database and interact...

ABSTRACTIntroduction: Cancer is caused by genetic abnormalities, such as mutation of ontogenesis or tumor suppressor genes which alter downstream signaling pathways and protein-protein interactions. Comparison of protein interactions in cancerous and normal cells can be of help in mechanisms of disease diagnoses and treatments. Methods: We constructed protein interaction networks of cancerous a...

background: today, despite the many advances in early detection of diseases, cancer patients have a poor prognosis and the survival rates in them are low. recently, microarray technologies have been used for gathering thousands data about the gene expression level of cancer cells. these types of data are the main indicators in survival prediction of cancer. this study highlights the improvement...

The most common malignant neoplasm of the head and neck region is laryngeal cancerwhich presents a significant international health problem. The present study aims to screenpotential proteins related to laryngeal cancer by network analysis to further understandingdisease pathogenesis and biomarker discovery. Differentially expressed proteins were extractedfrom literatures of laryngeal cancer th...

The most common malignant neoplasm of the head and neck region is laryngeal cancerwhich presents a significant international health problem. The present study aims to screenpotential proteins related to laryngeal cancer by network analysis to further understandingdisease pathogenesis and biomarker discovery. Differentially expressed proteins were extractedfrom literatures of laryngeal cancer th...