Differentially expressed genes and GO terms
Pomelo II: Finding differentially expressed genes
... Permutation-based and Cox model analysis use parallel computing, which permits taking advantage of multicore CPUs and computing clusters. Access to, and further analysis of, additional biological information and ...
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Differentially expressed genes between systemic sclerosis and rheumatoid arthritis
... up-regulated genes and 91 down-regulated ...enriched GO terms of up- and down-regulated genes were related to extracellular involvement and immune activity, respectively, and the top six ...
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Identification of Differentially Expressed Genes with Artificial Components the acde Package
... In this work, we present a new multivariate inferential method for detecting differen- tially expressed genes in gene expression data implemented in the acde package for R (R Core Team 2014). It estimates ...
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ORdensity: user-friendly R package to identify differentially expressed genes
... the genes identified as DE according to the strong and relaxed ...The genes are presented in the clusters obtained, by default, using the PAM method and the silhouette index as previ- ously ...DE ...
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Identification of Differentially-expressed Genes in Intestinal Gastric Cancer by Microarray Analysis
... Gene annotation in terms of the associated pathways was per- formed using DAVID [24], SOURCE [25] and GoMiner [26]. Signal transduction pathways were analyzed by BioRag [27]. Biological signature analysis was ...
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Microarray data analysis: a practical approach for selecting differentially expressed genes
... in terms of the present model, the term "absolute expression" will be used in place of "average ...eliminate genes with negative expression levels and to reject essentially uninterpretable ...filter, ...
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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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Identification of differentially expressed genes in pathways of cerebral neurotransmission of anovulatory mice.
... Copyright © 2017 The Authors. This is an open-access article distributed under the terms of the Creative Commons Attribution ShareAlike (CC BY-SA) 4.0 License. ABSTRACT. Polycystic ovary syndrome is the classic ...
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Data Mining in Networks of Differentially Expressed Genes during Sow Pregnancy
... the GO analysis, we found that the expression of many genes changed over the course of ...integrated genes that regulate maternal homeostasis by complement and coagulation cas- cades, and the ...
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Identifying Differentially Expressed Genes in Unreplicated Multiple-Treatment Microarray Timecourse Experiments
... effects, terms polynomial in time, and interactions between treatments and polynomial ...identify genes whose ‘best’ model differs significantly from the overall mean model by using the same permuted data ...
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Density Based Pruning for Identification of Differentially Expressed Genes from Microarray Data
... the gene distribution map) as shown in Fig. 1. In the sec- ond step, common statistics-based DEG identification algorithms such as t-test are applied to rank genes. The non-DEG pruning will be able to enrich true ...
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Investigation of reproducibility of differentially expressed genes in DNA microarrays through statistical simulation
... (MAQC) project conducted a large study using reference RNA samples and a toxicogenomics dataset [12,13] revealed that the DEGs selected using fold change (FC)- based criterion were more stable in terms of ...
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Validation of MIMGO: a method to identify differentially expressed GO terms in a microarray dataset
... are differentially expressed in a time course- or a tissue-microarray dataset before gene set analysis, because they hope to identify gene sets that are differentially expressed in any ...
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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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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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Aberrantly methylated-differentially expressed genes and pathways in colorectal cancer
... methylated-differentially expressed genes and pathways in CRC by joint bioinformatics analysis of both gene expression and gene methylation microarrays, which may contribute to the finding of ...
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