Suchergebnisse - Microarray Data Analysis and Gene Expression Profiling

Analysis of Proposed and Traditional Boosting Algorithm with Standalone Classification Methods for Classifying Gene Expresssion Microarray Data Using a Reject Option von Adil Aslam Mir, Lal Hussain, Muhammad Waseem, Amjad Aldweesh, Saim Rasheed, El Sayed Yousef, Malik Sajjad Ahmed Nadeem, Elsayed Tag Eldin

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Use of relevancy and complementary information for discriminatory gene selection from high-dimensional gene expression data von Nazmul Haque, Sadia Sharmin, Amin Ahsan Ali, Abu Ashfaqur Sajib, Mohammad Shoyaib

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Validation of genotype imputation in Southeast Asian populations and the effect of single nucleotide polymorphism annotation on imputation outcome von Harald Grove, Prida Malasit, Prapat Suriyaphol, Nattaya Tangthawornchaikul, Anavaj Sakuntabhai, Worachart Lert-itthiporn, Fumihiko Matsuda, Bhoom Suktitipat

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Genealyzer: web application for the analysis and comparison of gene expression data von Lietz, Kristina, Saremi, Babak, Wiese, Lena

“… Microarray data of gene expression experiments is still commonly used and widely available for retrospective analyses …”
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Microarray Gene Expression Data Analysis von Liew, Alan Wee‐Chung, Gan, Xiangchao

“… This chapter contains sections titled: Introduction DNA Microarray Technology and Experiment Image Analysis and Expression Data Extraction Data Processing Missing Value Imputation Temporal Gene Expression Profile Analysis Cyclic Gene …”
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A trend pattern assessment approach to microarray gene expression profiling data analysis von Cao, Kajia, Zhu, Qiuming, Iqbal, Javeed, Chan, John W.C.

“… ) from DNA Microarray gene expression profiling data sets. Fisher’s Discriminate Criterion (FDC) is used as a statistical measurement in the processes. It is found that the weed-out trend analysis (WOTA) approach is effective for qualitatively assessing the statistics-based measurements in the experimentations conducted …”
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Gene Expression Microarray Data Analysis for Toxicology Profiling von CUNNINGHAM, M. J., LIANG, S., FURMAN, S., SEILHAMER, J. J., SOMOGYI, R.

“… : When dealing with thousands of genes, all potentially interesting, it is desirable to rank the genes according to their degree of participation in a physiological process …”
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Repeatability of published microarray gene expression analyses von Ioannidis, John P A, Allison, David B, Ball, Catherine A, Coulibaly, Issa, Cui, Xiangqin, Culhane, Aedín C, Falchi, Mario, Furlanello, Cesare, Game, Laurence, Jurman, Giuseppe, Mangion, Jon, Mehta, Tapan, Nitzberg, Michael, Page, Grier P, Petretto, Enrico, van Noort, Vera

“… Given the complexity of microarray-based gene expression studies, guidelines encourage transparent design and public data availability …”
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Analysis of gene expression profile microarray data in complex regional pain syndrome von Tan, Wulin, Song, Yiyan, Mo, Chengqiang, Jiang, Shuangjian, Wang, Zhongxing

“… ) using bioinformatics analysis. The gene expression profiling microarray data, GSE47603, which included peripheral blood samples from 4 patients with CRPS and 5 healthy controls, was obtained from the Gene Expression Omnibus (GEO) database …”
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Analyzing gene expression data from microarray and next-generation dna sequencing transcriptome profiling assays using GeneSifter analysis edition von Porter, Sandra, Olson, N Eric, Smith, Todd

“… Transcription profiling with microarrays has become a standard procedure for comparing the levels of gene expression between pairs of samples, or multiple samples following different experimental treatments …”
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Microarray gene expression profiling in colorectal (HCT116) and hepatocellular (HepG2) carcinoma cell lines treated with Melicope ptelefolia leaf extract reveals transcriptome profiles exhibiting anticancer activity von Kabir, Mohammad Faujul, Mohd Ali, Johari, Haji Hashim, Onn

“… ) and hepatocellular carcinoma (HepG2) cell lines was characterized through microarray gene expression profiling …”
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Discovering gene expression patterns in time course microarray experiments by ANOVA–SCA von Nueda, María José, Conesa, Ana, Westerhuis, Johan A., Hoefsloot, Huub C. J., Smilde, Age K., Talón, Manuel, Ferrer, Alberto

“… Motivation: Designed microarray experiments are used to investigate the effects that controlled experimental factors have on gene expression and learn about the transcriptional responses associated with external variables …”
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Evaluation of read count based RNAseq analysis methods von Guo, Yan, Li, Chung-I, Ye, Fei, Shyr, Yu

“… Background RNAseq technology is replacing microarray technology as the tool of choice for gene expression profiling …”
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Reprograming of Glucose Metabolism by Zerumbone Suppresses Hepatocarcinogenesis von Wani, Nissar Ahmad, Zhang, Bo, Teng, Kun-Yu, Barajas, Juan M, Motiwala, Tasneem, Hu, Peng, Yu, Lianbo, Brüschweiler, Rafael, Ghoshal, Kalpana, Jacob, Samson T

“… Gene expression profiling using microarray and analysis of microarray data by Gene Set Enrichment Analysis (GSEA …”
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Identification of oncogenic long noncoding RNA SNHG12 and DUXAP8 in human bladder cancer through a comprehensive profiling analysis von Jiang, Bin, Hailong, Su, Yuan, Jun, Zhao, Hu, Xia, Wenkai, Zha, Zhenlei, Bin, Wu, Liu, Zhili

“… relevance using The Cancer Genome Atlas (TCGA) data and three independent microarray profiling data from the Gene Expression Omnibus (GEO …”
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Hierarchical Semiparametric Model for Incorporating Intergene Information for Analysis of Genomic Data von Qu, Long, Nettleton, Dan, Dekkers, Jack C. M.

“… For analysis of genomic data, e.g., microarray data from gene expression profiling experiments, the two …”
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Gene expression profiling of WDR5 regulated genes in bladder cancer von Chen, Xu, Gu, Peng, Li, Kuiqing, Xie, Weibin, Chen, Changhao, Lin, Tianxin, Huang, Jian

“… in vitro, and tumor growth in vivo (Chen et al., 2015). To gain a molecular understanding of the role of WDR5 in promoting bladder cancer, we performed a genome-wide analysis on WDR5 knockdown by microarray gene expression profiling …”
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Gene expression profiling of rat hippocampus following exposure to the acetylcholinesterase inhibitor soman von Dillman, 3rd, James F, Phillips, Christopher S, Kniffin, Denise M, Tompkins, Christina P, Hamilton, Tracey A, Kan, Robert K

“… We performed gene expression profiling of the rat hippocampus following soman exposure to gain greater insight into the molecular pathogenesis of soman-induced neurodegeneration …”
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Removing batch effects from purified plasma cell gene expression microarrays with modified ComBat von Stein, Caleb K, Qu, Pingping, Epstein, Joshua, Buros, Amy, Rosenthal, Adam, Crowley, John, Morgan, Gareth, Barlogie, Bart

“… Background Gene expression profiling (GEP) via microarray analysis is a widely used tool for assessing risk and other patient diagnostics in clinical settings …”
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Genome-wide Analysis of Root Hair Preferred RBOH Genes Suggests that Three RBOH Genes are Associated with Auxin-mediated Root Hair Development in Rice von Kim, Eui-Jung, Kim, Yu-Jin, Hong, Woo-Jong, Lee, Chanhee, Jeon, Jong-Seong, Jung, Ki-Hong

“… ) RBOH genes, we performed expression analysis of nine RBOH genes using qRT-PCR and microarray data …”
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