Search Results - issue array analysis - methods

Comparison study of microarray meta-analysis methods by Campain, Anna, Yang, Yee Hwa

“… However, there are a wide range of issues associated with microarray meta-analysis and a limited ability to compare the performance of different meta-analysis methods…”
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Statistical issues and methods for meta-analysis of microarray data: a case study in prostate cancer by Barette, Terrence R., Rhodes, Dan, Ghosh, Debashis, Chinnaiyan, Arul M.

“…With the proliferation of related microarray studies by independent groups, a natural step in the analysis of these gene expression data is to combine the results across these studies…”
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Efficient Analysis of Large Aperiodic Antenna Arrays Using the Domain Green's Function Method: SPECIAL ISSUE ON INNOVATIVE PHASED ARRAY ANTENNAS BASED ON NON-REGULAR LATTICES AND OVERLAPPED SUBARRAYS by LUDICK, Daniel J, MAASKANT, Rob, DAVIDSON, David B, JAKOBUS, Ulrich, MITTRA, Raj, DE VILLIERS, Dirk

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CORM: An R Package Implementing the Clustering of Regression Models Method for Gene Clustering: Supplement Issue: Array Platform Modeling and Analysis (A) by Shi, Jiejun, Qin, Li-Xuan

“…We report a new R package implementing the clustering of regression models (CORM) method for clustering genes using gene expression data and provide data examples illustrating each clustering function in the package…”
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Extending Information Retrieval Methods to Personalized Genomic-Based Studies of Disease: Supplementary Issue: Array Platform Modeling and Analysis (B) by Ye, Shuyun, Dawson, John A., Kendziorski, Christina

“…Genomic-based studies of disease now involve diverse types of data collected on large groups of patients. A major challenge facing statistical scientists is…”
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TEGS-CN: A Statistical Method for Pathway Analysis of Genome-wide Copy Number Profile: Supplementary Issue: Array Platform Modeling and Analysis (A) by Huang, Yen-Tsung, Hsu, Thomas, Christiani, David C.

“…The effects of copy number alterations make up a significant part of the tumor genome profile, but pathway analyses of these alterations are still not well established…”
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Algorithmic and Complexity Issues of Three Clustering Methods in Microarray Data Analysis by Tan, Jinsong, Chua, Kok Seng, Zhang, Louxin, Zhu, Song

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Gene selection for microarray cancer classification using a new evolutionary method employing artificial intelligence concepts by Dashtban, M., Balafar, Mohammadali

“…Gene selection is a demanding task for microarray data analysis. The diverse complexity of different cancers makes this issue still challenging…”
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Transfer modeling of 1T1R crossbar arrays with line resistances based on matrix algebra method by Zhang, Xin, Zeng, Ying, Lin, Yuan, Zhou, Ling

“…•The comparative analysis of 1T1R crossbar array modeling based on matrix algebra method and compact-model SPICE simulations are conducted…”
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Development of a novel microarray data analysis tool without normalization for genotyping degraded forensic DNA by Yagasaki, Kayoko, Nishida, Nao, Mabuchi, Akihiko, Tokunaga, Katsushi, Fujimoto, Akihiro

“…Since the arrest of the Golden State Killer in the US in April 2018, forensic geneticists have been increasingly interested in the investigative genetic genealogy (IGG) method…”
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Circular RNA detection methods: A minireview by Mi, Zhang, Zhongqiang, Chen, Caiyun, Jiang, Yanan, Liu, Jianhua, Wu, Liang, Liu

“… Traditional methods such as northern blotting, RT-qPCR, and microarray analysis provide useful but limited information…”
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Discovering monotonic stemness marker genes from time-series stem cell microarray data by Wang, Hsei-Wei, Sun, Hsing-Jen, Chang, Ting-Yu, Lo, Hung-Hao, Cheng, Wei-Chung, Tseng, George C, Lin, Chin-Teng, Chang, Shing-Jyh, Pal, Nikhil Ranjan, Chung, I-Fang

“…Background Identification of genes with ascending or descending monotonic expression patterns over time or stages of stem cells is an important issue in time-series microarray data analysis…”
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Functional genomics in farm animals – Microarray analysis by Bendixen, Christian, Hedegaard, Jakob, Horn, Per

“… This paper addresses practical issues in the use of microarray based methods for gene-expression analysis in farm animals, and provides an overview of different array-platforms as well…”
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Establishing genomic/transcriptomic links between Alzheimer's disease and type 2 diabetes mellitus by meta-analysis approach by Mirza, Zeenat, Kamal, Mohammad A, Buzenadah, Adel M, Al-Qahtani, Mohammed H, Karim, Sajjad

“…Meta-analysis methods exist for combining multiple microarray datasets. However, there are a wide range of issues associated with microarray meta-analysis and a limited ability to compare the performance of different metaanalysis methods…”
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Statistical issues in microarray data analysis by Rensink, Willem A, Hazen, Samuel P

“…Microarrays provide the ability to quantitatively measure the abundance of specific RNA transcripts through sample hybridization to a solid-state grid of oligonucleotides or amplicons…”
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Microarray Data Analysis: From Hypotheses to Conclusions Using Gene Expression Data by Armstrong, Nicola J., van de Wiel, Mark A.

“…We review several commonly used methods for the design and analysis of microarray data…”
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CEBPA –double-mutated acute myeloid leukemia displays a unique phenotypic profile: a reliable screening method and insight into biological features by Mannelli, Francesco, Ponziani, Vanessa, Bencini, Sara, Bonetti, Maria Ida, Benelli, Matteo, Cutini, Ilaria, Gianfaldoni, Giacomo, Scappini, Barbara, Pancani, Fabiana, Piccini, Matteo, Rondelli, Tommaso, Caporale, Roberto, Gelli, Anna Maria Grazia, Peruzzi, Benedetta, Chiarini, Marco, Borlenghi, Erika, Spinelli, Orietta, Giupponi, Damiano, Zanghì, Pamela, Bassan, Renato, Rambaldi, Alessandro, Rossi, Giuseppe, Bosi, Alberto

“… Several screening methods (fragment-length analysis, gene expression array) have been proposed especially for large-scale clinical use…”
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Single cell DNA damage/repair assay using HaloChip by Qiao, Yong, Wang, Chaoming, Su, Ming, Ma, Liyuan

“… Although a panel of techniques can be used to detect DNA damages, most of them are limited due to low sensitivity, low throughput, incompatibility for automated data analysis, and labor-intensive operations…”
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Statistical issues in cDNA microarray data analysis by Smyth, Gordon K, Yang, Yee Hwa, Speed, Terry

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A Selective Analysis of Microarray Data Using Association Rule Mining by Alagukumar, S., Lawrance, R.

“… In this paper the most relevant mining association rules as well as main issues when discovering efficient and practical method for microarray gene association analysis…”
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