[PDF] Top 20 Ranking Genes for Discriminability on Microarray Data
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Ranking Genes for Discriminability on Microarray Data
... based on these datasets by using LOOCV and ...unique ranking by using statistical parametric methods, including t-test [7], Fisher [8] and Golub ...[3]. On the other hand, numbers of genes ... See full document
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Identifying significant genes from microarray data
... differential genes from these data is important for microarray data ...framework for selecting informative genes, called Ranking and Combination analysis (RAC), ... See full document
8
Determination of Common Cancer-Related Genes Using Microarray Data
... using microarray data analytical results has become a popular method to search for drug ...cancer-related genes for prostate adenocarcinomas, kidney carcinoma, hepatocellular carcinoma, ... See full document
1
Rapid divergence in expression between duplicate genes inferred from microarray data
... expression divergence between duplicate genes in yeast. A similar picture is seen for K A (Table 2). There are two factors that tend to underestimate the rate of expression divergence. First, the nine ... See full document
5
Discovering monotonic stemness marker genes from time-series stem cell microarray data
... index for finding such stemness ...marker genes which are associated with stages of stem cell ...depend on pathology/clinical phenotypes and are not defined taking observations with arbitrary/equal ... See full document
18
An integrative tool for gene regulatory network reconstruction based on microarray data
... the genes expression relationships between genes ...between genes and various transcription ...factors for each related ...based on microarray ... See full document
2
Improved Feature Selection on Microarray Expression Data
... Machine, Microarray 1. Introduction Microarray is a very useful tool for biologists to discover the gene ...large genes expression data could be processed ...the data sets have ... See full document
6
A hybrid feature selection method for DNA microarray data
... training data sets are generally of a fairly small sample size compared to the number of genes ...training data limitations, this constitutes a challenge to certain classification ...those ... See full document
5
Noninferiority tests based on concordance correlation coefficient for assessment of the agreement for gene expression data from microarray experiments
... personal for quality control and quality assurance in development of diagnostic biochip products based on microarray ...different genes in a given array are statistically ...among genes ... See full document
20
A Novel Approach for Handling Missing Values in Microarray Data
... expression microarray is a popular technique to discover significant marker genes for different experimental ...expression data in selection ...of microarray gene expression data ... See full document
6
Biological Data Warehousing System for Identifying Transcriptional Regulatory Sites From Gene Expressions of Microarray Data
... The utility of the biological data warehouse in predicting transcriptional regulatory sites of coregulated genes was explored using a synexpression group derived from a microarray stud[r] ... See full document
1
Biological data warehousing system for identifying transcriptional regulatory sites from gene expressions of microarray data
... regulation. For this propose, we designed and implemented a data warehouse to in- tegrate multiple heterogeneous biological data sources with data types such as text-file, XML, image, MySQL ... See full document
9
GeneNetwork: an interactive tool for reconstruction of genetic networks using microarray data
... series data generated from high-throughput experimental technologies, such as cDNA microarray, can help us to under- stand the system behavior of living ...three data interpolation approaches to ... See full document
3
A Hybrid BPSO-CGA Approach for Gene Selection and Classification of Microarray Data
... vivo. Microarray gene expression profiles indicate the relative abundance of mRNA corresponding to the ...evant genes from microarray data poses a formidable challenge to researchers due to ... See full document
7
Discovery of prognostic biomarkers for predicting lung cancer metastasis using microarray and survival data
... function Microarray data contain valuable information about a huge gene set but often suffer from a small number of available ...of genes that can achieve high training accuracies for ... See full document
14
Breast Cancer Classification and Biomarker Discovery on Microarray Data Using Genetic Algorithms and Bayesian Classifier
... problem on microarray data of breast ...important for breast cancers, but also find many potential targets for further biomarker ...mircroarray data for cancer diagnosis ... See full document
6
Determination of Common Cancer-Related Genes Using Microarray Data 運用微陣列數據資料探討癌症之共同基因
... using microarray data analytical results has become a popular method to search for drug ...cancer-related genes for prostate adenocarcinomas, kidney carcinoma, hepatocellular carcinoma, ... See full document
6
Determination of Common Cancer-Related Genes Using Microarray Data 運用微陣列數據資料探討癌症之共同基因
... using microarray data analytical results has become a popular method to search for drug ...cancer-related genes for prostate adenocarcinomas, kidney carcinoma, hepatocellular carcinoma, ... See full document
1
Determination of Common Cancer-Related Genes Using Microarray Data 運用微陣列數據資料探討癌症之共同基因
... using microarray data analytical results has become a popular method to search for drug ...cancer-related genes for prostate adenocarcinomas, kidney carcinoma, hepatocellular carcinoma, ... See full document
1
Gene selection and sample classification on microarray data based on adaptive genetic algorithm / k-nearest neighbor method
... performance for dimension reduc- tion and gene selection on gene expression ...good for dimension ...selected genes are ...relevant genes efficiently from the sub-gene set and classify ... See full document
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