云南高校图书馆联盟文献共享服务平台- MICROARRAY

MICROARRAY: 作品数：440被引量：1533H指数：15; 导出分析报告; 相关领域：医药卫生生物学更多>>; 相关作者：范保星吴德昌张开泰石磊黄圆更多>>; 相关机构：清华大学复旦大学军事医学科学院北京大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划国家高技术研究发展计划国家教育部博士点基金更多>>

MSIsensor-RNA:Microsatellite Instability Detection for Bulk and Single-cell Gene Expression Data: 《Genomics, Proteomics & Bioinformatics》2024年第3期85-90,共6页Peng Jia Xuanhao Yang Xiaofei Yang Tingjie Wang Yu Xu Kai Ye; supported by the National Natural Science Foundation of China(Grant Nos.32070663,32125009,and 62172325);the National Key R&D Program of China(Grant No.2022YFC3400300);the Fundamental Research Funds for the Central Universities,China(Grant No.xzy012020012);the Natural Science Basic Research Program of Shaanxi,China(Grant No.2021GXLH-Z-098)to Kai Ye and Xaiofei Yang.; Microsatellite instability(MSI)is an indispensable biomarker in cancer immunotherapy.Currently,MSI scoring methods by high-throughput omics methods have gained popularity and demonstrated better performance than the g...; 关键词：Microsatellite instability Gene expression Single-cell RNA-seq RNA-SEQ MICROARRAY

A Survey on Acute Leukemia Expression Data Classification Using Ensembles: 《Computer Systems Science & Engineering》2023年第11期1349-1364,共16页Abdel Nasser H.Zaied Ehab Rushdy Mona Gamal; Acute leukemia is an aggressive disease that has high mortality rates worldwide.The error rate can be as high as 40%when classifying acute leukemia into its subtypes.So,there is an urgent need to support hematologists...; 关键词：LEUKEMIA CLASSIFICATION ENSEMBLE rotation forest pairwise correlation bayesian networks gene expression data MICROARRAY gene selection

A new distributed feature selection technique for classifying gene expression data: 《International Journal of Biomathematics》2019年第4期79-109,共31页Sarah M.Ayyad Ahmed I.Saleh Labib M.Labib; Classification of gene expression data is a pivotal research area that plays a substantial role in diagnosis and prediction of diseases. Generally, feature selection is one of the extensively used techniques in data m...; 关键词：Feature selection gene expression dimensionality reduction MICROARRAY data CLASSIFICATION DISTRIBUTED learning MATHEMATICS Subject CLASSIFICATION

Investigation of temporal and spatial heterogeneities of the immune responses to Bordetella pertussis infection in the lung and spleen of mice via analysis and modeling of dynamic microarray gene expression data: 《Infectious Disease Modelling》2019年第1期215-226,共12页Nan Deng Juan C.Ramirez Michelle Carey Hongyu Miao Cesar A.Arias Andrew P.Rice Hulin Wu; This work is partially supported by NIH/NIAID grant RO1 AI087135;CAA is supported by NIH/NIAID grant K24 AI114818.; Bordetella pertussis(B.pertussis)is the causative agent of pertussis,also referenced as whooping cough.Although pertussis has been appropriately controlled by routine immunization of infants,it has experienced a resur...; 关键词：PERTUSSIS ORGANS MICROARRAY

Compilation and Analysis of Atherosclerosis Gene Expression Data: 《Advances in Biological Chemistry》2015年第2期142-150,共9页Michelle L. Booze Kathleen M. Eyster; The objective of this project was to search for consensus in differential gene expression data and in regulation of differentially expressed genes among DNA microarray studies of atherosclerotic vessels and plaque. Se...; 关键词：ATHEROSCLEROSIS JASPAR TRED rVISTA DNA MICROARRAY BIOINFORMATICS GENE Expression

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

Cancer classification based on microarray gene expression data using a principal component accumulation method被引量：2: 《Science China Chemistry》2011年第5期802-811,共10页LIU JingJing CAI WenSheng SHAO XueGuang; supported by the National Natural Science Foundation of China (20835002);International Science and Technology Cooperation Program of the Ministry of Science and Technology (MOST) of China (2008DFA32250); The classification of cancer is a major research topic in bioinformatics. The nature of high dimensionality and small size associated with gene expression data,however,makes the classification quite challenging. Altho...; 关键词：cancer classification principal component analysis principal component accumulation gene expression data

Biclustering of time-lagged gene expression data using real number被引量：1: 《Journal of Biomedical Science and Engineering》2010年第2期217-220,共4页Feng Liu Lingbing Wang; Analysis of gene expression data can help to find the time-lagged co-regulation of gene cluster. However, existing method just solve the problem under the condition when the data is discrete number. In this paper, we ...; 关键词：MICROARRAY GENE EXPRESSION Bicluster Mean Squared Reside

Sum-Based Meta-Analytical Enrichment of Gene Expression Data to Identify Pathway Signatures of Cancers: 《Journal of Cancer Therapy》2010年第1期36-42,共7页Kavishwar Wagholikar Prasanna Venkatraman Sundararajan Vijayraghavan Chandan Kumar-Sinha; A new method for analysis of microarray gene expression experiments referred to as Sum-based Meta-analytical Enrichment?(SME) is proposed in this manuscript. SME is a combined enrichment and meta-analytical approach t...; 关键词：Gene Expression MICROARRAY ENRICHMENT Meta-Analysis

MICROARRAY