Microarray Analysis of Autoimmune Diseases by Machine Learning Procedures
نویسندگان
چکیده
منابع مشابه
Machine Learning Methods for Microarray Data Analysis
As members of the Dissertation Committee, we certify that we have read the dis-sertation prepared by Prasad Amaresh Gabbur entitled Machine Learning Methods for Microarray Data Analysis and recommend that it be accepted as fulfilling the dissertation requirement for the Degree of Doctor of Philosophy. Final approval and acceptance of this dissertation is contingent upon the candidate's submissi...
متن کاملAnalysis of Microarray Gene Expression Data Using Machine Learning Techniques
The advent of DNA microarrays has facilitated a fundamental transition from gene science to genome science. By performing massively parallel experiments on thousands of genes at once, scientists have, for the first time, the capability of observing the complex relationships between genes under controlled experimental conditions. However, the immense volume of data being generated by microarray ...
متن کاملMachine Learning in DNA Microarray Analysis for Cancer Classification
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it expectedly helps us to exactly predict and diagnose cancer. To precisely classify cancer we have to select genes related to cancer because extracted genes from microarray have many noises. In this paper, we attempt to e...
متن کاملDiagnosing Breast Cancer by Machine Learning
Background and Aim: Cancer and in particular Breast cancer are among the diseases that have the highest mortality rate in Iran after heart disease. The accurate prognosis for Breast cancer is important, and the presence of various symptoms and features of this disease makes it difficult for doctors to diagnose. This study aimed to identify the factors affecting Breast cancer, modeling and ultim...
متن کاملComparative Analysis of Machine Learning Algorithms with Optimization Purposes
The field of optimization and machine learning are increasingly interplayed and optimization in different problems leads to the use of machine learning approaches. Machine learning algorithms work in reasonable computational time for specific classes of problems and have important role in extracting knowledge from large amount of data. In this paper, a methodology has been employed to opt...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Information Technology in Biomedicine
سال: 2009
ISSN: 1089-7771
DOI: 10.1109/titb.2008.2011984