[PDF] Top 20 Title: Classification Techniques in Gene Expression Microarray Data
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Title: Classification Techniques in Gene Expression Microarray Data
... and data mining have established a plenty of effective applications in gene expression ...learning techniques to resolve various complex and real world-problems [1, ...predict. Data ... See full document
5
Vector Quantization of Microarray Gene Expression Data
... compression, data compression, data transmission, facial recognition, radar signal processing, finance and insurance, production control, sale and marketing, and so ...structured data, with higher ... See full document
5
Independent component analysis of Alzheimer's DNA microarray gene expression data
... The gene expression data provided by microarray technol- ogy is considered a linear combination of some independ- ent components having specific biological ...the expression levels of ... See full document
14
Detect Key Gene Information in Classification of Microarray Data
... tumor classification from morphologic to ...a classification problem in machine learning. Generally, microarray expression experi- ments allow the recording of expression levels of ... See full document
10
A Study of Cancer Microarray Gene Expression Profile: Objectives and Approaches
... body. Microarray based gene expression profiling has been emerged as an efficient technique for cancer classification, as well as for diagnosis, prognosis, and treatment ...DNA ... See full document
6
Complexity Reduced Tumor Classification System using Microarray Gene Expression Dataset
... In Microarray technology, vast quantities of data are collected because of the quantity of information brought forth from every experiment ...[1]. Microarray technology has become one of the ... See full document
6
Title: Data Mining and Gene Expression Analysis in Bioinformatics
... biological data all over the ...the data as well as to view and analyze the data using specialized tools and ...the data, visualization of the results and evaluation of the produced knowledge ... See full document
12
Modified Whale Optimization Algorithm For Feature Selection In Micro Array Cancer Dataset
... using gene expression analysis utilizing micro array ...functional expression levels of thousands of genes can be measured in ...parallel. Microarray dataset largely differs from other ... See full document
8
Combined gene selection methods for microarray data analysis
... SVMs-lights classification system [10] and ...image classification [18], cancer classification [7, ...wrapper gene selection ...existing classification algo- ...for gene ... See full document
8
Model based cluster analysis of microarray gene expression data
... analyzing gene-expression ...for classification results, in the context of detecting differentially expressed genes its use is more in the line of exploratory data ...changed expression ... See full document
8
Comparative study of feature selection method of microarray data for gene classification
... on gene selection and classification of DNA microarray data in order to identify tumor samples from normal ...samples. Gene selection is a process where a set of informative genes is ... See full document
27
BioVLAB Microarray: Microarray Data Analysis in Virtual Environment
... and gene expression ...functional classification. Also, by adding expression correlation score to network edges, we may see inter-protein crosstalk during gene expression ... See full document
7
Microarray data analysis: From hypotheses to conclusions using gene expression data
... of classification is cross- ...the data set at hand, because one has so many ‘predictors’ (all the genes) and usu- ally relatively few ‘outcomes’ (class label of the sam- ...the classification ... See full document
13
Gene set analysis methods applied to chicken microarray expression data
... on expression ratios and support vector machine ...for data classification and has been implemented in Gist ...requires expression ratio matrices without missing values, therefore the number ... See full document
6
Novel approaches to biclustering and gene functional classification in microarray gene expression data
... Unsupervised classification is carried out when we have little information about the true classes present (few labels) or when we wish to discover new classes in a ...supervised techniques both genes and ... See full document
143
Microarray Gene Expression Data Classification using a Hybrid Algorithm: MRMRAGA
... of microarray gene expression research, the high dimension of the features with a comparatively small sample size of these data became necessary for the development of a robust and efficient ... See full document
8
Gene Selection for Tumor Classification Using Microarray Gene Expression Data
... of gene expression data ...learning techniques have been successfully applied to cancer classification using microarray data ...tumor classification [3, ... See full document
6
GENE EXPRESSION DATA ANALYSIS USING DATA MINING ALGORITHMS FOR COLON CANCER
... of Data mining is used in various medical applications like tumor classification, protein structure prediction, gene classification, cancer classification based on microarray ... See full document
7
Effective gene selection techniques for classification of gene expression data
... the gene expression profiles provided by the microarray ...can microarray technology helps to identify and select genes which are related to the cancers, the information and knowledge gathered ... See full document
36
Mining Gene Expression Data in a Distributed Manner for Cancer Therapeutics
... Cancer classification is an important problem for both clinical treatment and biomedical ...cancer classification has been relying on subjective judgment from professional ...Currently, microarray ... See full document
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