Accurate identification of the cancer types is essential to cancer diagnoses and treatments. Since cancer tissue and normal tissue have different gene expression, gene expression data can be used as an efficient feature source for cancer classification. However, accurate cancer classification directly using original gene expression profiles remains challenging due to the intrinsic high-dimensio...

The detection of correct sub-type of a particular cancer helps in appropriate treatment and faster recovery of the patient .In this paper the survey of different methods used in the process atomization of cancer sub-classification are presented. Conventional methods of cancer sub-classification depend largely on physician’s knowledge and experience. Automation of cancer sub-type classification ...

Background: Breast cancer is the most common invasive cancer with high mortality in women all around the world. The present evidence shows that younger patients have poor survival. Thus, the aim of this study was to compare the pathologic characteristics of breast cancer in women younger than 40 years compared with older. Methods: This is a cross-sectional study which contains 681 patients wit...

Abstract Cancer is the second leading cause of death globally. According to WHO prediction (2015) cases cancer deaths will increase 21.6 million by 2030. Therefore, early detection necessary avoid spread and machine learning required performance in cancer. In general, microarray data consist many features. However, there are several features that did not have important information classificatio...

Over the past several years, more and more individuals attract malignant gastric cancer. In many cases, however, the initial symptoms of the disease are so non-specific that the tumor is not diagnosed until it is in an advanced stage, resulting in the prognosis being worse. Which risk factors promote the development of gastric cancer, and what are the treatment options once the diagnosis of gas...

Cancer research is an interesting research area in the field of medicine. Classification is momentously necessary for cancer diagnosis and treatment. The precise prophecy of dissimilar tumor types has immense value in providing better care and toxicity minimization on the patients. Classification of patient taster obtainable as gene expression profiles has become an issue of prevalent study in ...

Understanding the gene expression is an important factor to cancer diagnosis. One target of this understanding is implementing cancer gene search and classification methods. However, cancer gene search and classification is a challenge in that there is no an obvious exact algorithm that can be implemented individually for various cancer cells. In this paper a research is conducted through the m...

OBJECTIVES Many studies based on microRNA (miRNA) expression profiles showed a new aspect of cancer classification. Because one characteristic of miRNA expression data is the high dimensionality, feature selection methods have been used to facilitate dimensionality reduction. The feature selection methods have one shortcoming thus far: they just consider the problem of where feature to class is...

Background: Rhabdomyosarcoma is a rare malignant soft tissue sarcoma and the most common sarcoma of childhood. The purpose of this study was to investigate the distribution of age and sex of patients, pathological subtypes and to determine the role of staging and classification of RMS on treatment outcome. Materials and Methods: This retrospective study included patients who diagnosed with RMS ...