Identification of apolipoprotein using feature selection technique
نویسندگان
چکیده
منابع مشابه
Identification of apolipoprotein using feature selection technique
Apolipoprotein is a kind of protein which can transport the lipids through the lymphatic and circulatory systems. The abnormal expression level of apolipoprotein always causes angiocardiopathy. Thus, correct recognition of apolipoprotein from proteomic data is very crucial to the comprehension of cardiovascular system and drug design. This study is to develop a computational model to predict ap...
متن کاملA New Gene Selection Technique Using Feature Selection Methodology
The DNA Microarray technology can measure the expression levels of thousands of genes simultaneously, and produces huge volumes of gene expression data. Such gene data include complex variations among expression levels of genes in the various classes of samples, which allows for classifying and clustering the samples based on only a small subset of genes. We aim to identify those genes that dem...
متن کاملPneumonia identification using statistical feature selection
OBJECTIVE This paper describes a natural language processing system for the task of pneumonia identification. Based on the information extracted from the narrative reports associated with a patient, the task is to identify whether or not the patient is positive for pneumonia. DESIGN A binary classifier was employed to identify pneumonia from a dataset of multiple types of clinical notes creat...
متن کاملFeature selection using Fisher's ratio technique for automatic speech recognition
Automatic Speech Recognition (ASR) involves mainly two steps; feature extraction and classification (pattern recognition). Mel Frequency Cepstral Coefficient (MFCC) is used as one of the prominent feature extraction techniques in ASR. Usually, the set of all 12 MFCC coefficients is used as the feature vector in the classification step. But the question is whether the same or improved classifica...
متن کاملAn Evolutionary Feature Selection Technique Using Polynomial Neural Network
In this paper we propose a novel approach for feature subset selection by the Polynomial Neural Network (PNN) using Genetic Algorithm (GA). A randomly selected subset of features of a d ataset is passed to the PNN as input. The classification accuracy of PNN is taken as the fitness function of GA. In the conventional PNN approaches, published in literature so far, the processing by PNN takes la...
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: Scientific Reports
سال: 2016
ISSN: 2045-2322
DOI: 10.1038/srep30441