A Filter Method for Feature Selection for SELDI-TOF Mass Spectrum

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Feature Selection and Classification of Seldi-tof Mass Spectra of Hepatoma Using Gene-weighted Genetic Algorithm

A classifier to classify the normal sample or sample with hepatoma based on the sample’s surface-enhanced laser desorption/ionization time-of-flight (SELDI-TOF) mass spectra is designed in this paper. A modified genetic algorithm (GA) called geneweighted GA (GWGA) is proposed to design the classifier based on the SELDI-TOF mass spectra of hepatoma. To reduce the computation efforts, an approach...

متن کامل

A Filter Feature Selection Method for Clustering

High dimensionnal data is a challenge for the KDD community. Feature Selection (FS) is an efficient preprocessing step for dimensionnality reduction thanks to the removal of redundant and/or noisy features. Few and mostly recent FS methods have been proposed for clustering. Furthermore, most of them are ”wrapper” methods that require the use of clustering algorithms for evaluating the selected ...

متن کامل

A new genetic algorithm in proteomics: Feature selection for SELDI-TOF data

Mass spectrometry from clinical specimens is used in order to identify biomarkers in a diagnosis. Thus, a reliable method for both feature selection and classification is required. A novel method is proposed to find biomarkers in SELDI-TOF in order to perform robust classification.The feature selection is based on a new genetic algorithm. Concerning the classification, a method which takes into...

متن کامل

A New Hybrid Feature Subset Selection Algorithm for the Analysis of Ovarian Cancer Data Using Laser Mass Spectrum

Introduction: Amajor problem in the treatment of cancer is the lack of an appropriate method for the early diagnosis of the disease. The chemical reaction within an organ may be reflected in the form of proteomic patterns in the serum, sputum, or urine. Laser mass spectrometry is a valuable tool for extracting the proteomic patterns from biological samples. A major challenge in extracting such ...

متن کامل

A Classification Method for E-mail Spam Using a Hybrid Approach for Feature Selection Optimization

Spam is an unwanted email that is harmful to communications around the world. Spam leads to a growing problem in a personal email, so it would be essential to detect it. Machine learning is very useful to solve this problem as it shows good results in order to learn all the requisite patterns for classification due to its adaptive existence. Nonetheless, in spam detection, there are a large num...

متن کامل

ذخیره 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: IEICE Transactions on Information and Systems

سال: 2009

ISSN: 0916-8532,1745-1361

DOI: 10.1587/transinf.e92.d.346