Identifying differentially expressed genes
Identifying Differentially Expressed Genes in Unreplicated Multiple-Treatment Microarray Timecourse Experiments
... for identifying differentially expressed genes in a multiple- treatment timecourse microarray experiment where differential expression is defined as any expression profile that differs from ...
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Statistical methods for identifying differentially expressed genes in RNA-Seq experiments
... step, genes are classified into two exclusive classes, genes with or without over-dispersion, by using an adjusted score test on the hypothesis of whether or not the over-dispersion is present within the ...
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A tool for comparing different statistical methods on identifying differentially expressed genes
... some genes with low variances because of the fudge ...whether genes lying outside of the contour of a 2-d null distribution are indeed the most relevant ...selected genes according to one or another ...
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Statistical methods for identifying differentially expressed genes using hierarchical models
... many genes as possible is ...of genes for a given ePPEE threshold, provided that the method’s ePPEEs are ...sorted genes according to their ePPEEs from smallest to ...more genes on a list for ...
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A non parametric approach for identifying differentially expressed genes in factorial microarray experiments
... identify differentially expressed genes in factorial microarray ...significant genes in ANOVA on the top two axes in CA. The 601 genes in Figure 3b explain ...220 genes in Figure ...
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Identifying Differentially Expressed Genes for Time-course Microarray Data through Functional Data Analysis
... of differentially expressed (DE) genes across two conditions is a common task with ...all genes and select differently expressed ...all genes such that the information across ...
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Identifying differentially expressed genes from cross-site integrated data based on relative expression orderings
... Received: 2017.12.25; Accepted: 2018.02.02; Published: 2018.05.22 Abstract It is a basic task in high-throughput gene expression profiling studies to identify differentially expressed genes (DEGs) ...
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Identifying differentially expressed genes in human acute leukemia and mouse brain microarray datasets utilizing QTModel
... Discussion With the advent of microarray technology, a number of tools have been developed to identify DEGs for various kinds of microarray designs. However, some of the problems such as dealing with data from design ...
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Evaluation of Some Statistical Methods for the Identification of Differentially Expressed Genes
... The focus of the present study is a comparison of the top performing and popular methods SAM, samroc, rank product, and fold change along with modified versions of the SAM method and the fold change rule. As it is ...
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Identification of Differentially Expressed Genes with Artificial Components the acde Package
... 2. Materials and Methods In this section, we present the theoretical baseis of our strategy for identifying differentially expressed genes in gene expression data. We begin by introducing the ...
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Microarray analysis of differentially expressed genes in the brains of tubby mice.
... target genes of tub- by using microarray analysis and real-time ...the differentially expressed genes that we found are attractive target molecules that could be responsible for tubby mouse ...
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Microarray data quality control improves the detection of differentially expressed genes
... Here, we focus on quality metrics aimed at identifying outlier arrays. They can be divided into two categories: relative and absolute. Relative quality metrics compare each array's intensities against those of ...
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A novel principal component analysis method for identifying differentially expressed gene signatures
... top genes clearly standout by their distinct separation and how they line up almost vertically along the vertical ...20 genes. This list contains some of the top genes in the ethanol and non-ethanol ...
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Identification of aberrantly methylated differentially expressed genes targeted by differentially expressed miRNA in osteosarcoma
... several differentially methylated genes (DMGs) and differentially expressed genes (DEGs) in OS through bioinformatics analysis ...and differentially expressed miRNAs ...
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Pomelo II: Finding differentially expressed genes
... regulated genes in each two- class comparison and their intersection ...of genes that are up regulated in both the contrast between classes 0 and 1 and the contrast between ...
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Statistical methods for ranking differentially expressed genes
... Background Microarray technology has revolutionized modern biological research by permitting the simultaneous study of genes com- prising a large part of the genome. The blessings stemming from this are ...
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IDENTIFICATION OF DIFFERENTIALLY EXPRESSED GENES USING BI CLUSTERING
... the genes responsible for causing a disease, we use Biclustering technique which is also a useful co-clustering ...these differentially expressed gene modules, the anticipated method finds biclusters ...
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Identification of Differentially Expressed Genes in Papillary Thyroid Cancers
... specific genes, including tumor suppressor genes, oncogenes, apoptosis-associated genes and other predisposing ...However, genes, signaling pathways, and other basic mechanisms are cur- rently ...
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Detection of differentially expressed genes involved in osteoarthritis pathology
... TWIST1 can regulate FOS expression in the transcrip- tional regulatory network, and TWIST1 and FOS interact with each other in the PPI network. Kinne et al. found that compared to patients with OA or normal joints, c-fos ...
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Analysis of Differentially Expressed Genes in Neuroendocrine Carcinomas of the Lung
... of Differentially Expressed Genes in Neuroendocrine Carcinomas of the Lung Chigusa Okubo, MS,* Yuko Minami, MD,*§ Ryota Tanaka, MD,* 兩兩 Teruhito Uchihara, MD,*¶ Yoichi Anami, MD,* Shuichiroh Furuya, ...
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