FRL: An Integrative Feature Selection Algorithm Based on the Fisher Score, Recursive Feature Elimination, and Logistic Regression to Identify Potential Genomic Biomarkers

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

Partial Discharge Feature Selection and Evaluation Using an Enhanced Recursive Feature Elimination (rfe) Algorithm

This paper presents a novel approach for feature selection and evaluation, i.e. a process for reducing and finding an optimal subset of features from an initial set that describes a known dataset. The initial set is used to classify the data into groups, the optimal subset of features disregard unnecessary features that are redundant, which results in better understanding of the classification ...

متن کامل

Generalized Fisher Score for Feature Selection

Fisher score is one of the most widely used supervised feature selection methods. However, it selects each feature independently according to their scores under the Fisher criterion, which leads to a suboptimal subset of features. In this paper, we present a generalized Fisher score to jointly select features. It aims at finding an subset of features, which maximize the lower bound of tradition...

متن کامل

A Hybrid Feature Selection Method Based on Fisher Score and Genetic Algorithm

Fisher score and genetic algorithm are widely used for feature selection. However, some redundant features will be selected by Fisher score, and the convergence properties may be worse if the initial population of genetic algorithm is generated by a random manner. To improve the performance of feature selection by Fisher score and genetic algorithm, we propose a hybrid feature selection method,...

متن کامل

Ensemble Logistic Regression for Feature Selection

This paper describes a novel feature selection algorithm embedded into logistic regression. It specifically addresses high dimensional data with few observations, which are commonly found in the biomedical domain such as microarray data. The overall objective is to optimize the predictive performance of a classifier while favoring also sparse and stable models. Feature relevance is first estima...

متن کامل

Traffic Classification: Application-based feature selection using logistic regression

Recently, several statistical techniques using flow features have been proposed to address the problem of traffic classification. These methods achieve in general high recognition rates of the dominant applications and more random results for less popular ones. This stems from the selection process of the flow features, used as inputs of the statistical algorithm, which is biased toward those d...

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: BioMed Research International

سال: 2021

ISSN: 2314-6141,2314-6133

DOI: 10.1155/2021/4312850