MICROARRAY

作品数：440被引量：1533H指数：15
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Machine learning and bioinformatics to identify biomarkers in response to Burkholderia pseudomallei infection in mice
《BIOCELL》2024年第4期613-621,共9页YAO FANG FEI XIA FEIFEI TIAN L EI QU FANG YANG JUAN FANG ZHENHONG HU HAICHAO LIU 
The study was supported by Yuying Program Incubation Project of General Hospital of Center Theater(ZZYFH202104);Wuhan Young and Middle-Aged Medical Backbone Talent Project 2020(2020-55);Logistics Research Program Project 2019(CLB19J029).
Objective:In the realm of Class I pathogens,Burkholderia pseudomallei(BP)stands out for its propensity to induce severe pathogenicity.Investigating the intricate interactions between BP and host cells is imperative fo...
关键词：Burkholderia pseudomallei Microarray assay Machine learning BIOINFORMATICS FZD4 
A semi-supervised hierarchical approach： two-dimensional clustering of microarray gene expression data被引量：1
《Frontiers of Computer Science》2013年第2期204-213,共10页R PRISCILLA S SWAMYNATHAN 
Micro array technologies have become a widespread research technique for biomedical researchers to assess tens of thousands of gene expression values simul- taneously in a single experiment. Micro array data analysis ...
关键词：CLUSTERING hierarchical clustering supervisedclustering overlapping clustering 
Evaluation of clustering algorithms for gene expression data using gene ontology annotations被引量：1
《Chinese Medical Journal》2012年第17期3048-3052,共5页MA Ning ZHANG Zheng-guo 
Background Clustering is a useful exploratory technique for interpreting gene expression data to reveal groups of genes sharing common functional attributes. Biologists frequently face the problem of choosing an appro...
关键词：MICROARRAY gene expression CLUSTERING gene ontology 
Global expression profile of silkworm genes from larval to pupal stages： Toward a comprehensive understanding of sexual differences
《Insect Science》2011年第6期607-618,共12页Min Zhao Xing-Fu Zha Jin Liu Wen-Ji Zhang Ning-Jia He Dao-Jun Cheng Ya Dai Zhong-Huai Xiang Qing-You Xia 
Sexual dimorphism is a widespread phenomenon in many higher animals. The genes and gene networks that underlie sex differences are poorly understood. Using microarray data we analyzed sex-related differences in the gl...
关键词：Bombyx mori microarray sex-biased gene sexual dimorphism 
Clustering gene expression data using a novel model of self-organizing map
《Journal of Shanghai University(English Edition)》2007年第2期163-166,共4页郝件 郁松年 席福利 
Clustering is an important technique for analyzing gene expression data. The self-organizing map is one of the most useful clustering algorithms. However, its applicability is limited by the fact that some knowledge a...
关键词：CLUSTERING neural network MICROARRAY machine learning 
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