differentially expressed genes (DEGs)
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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Aberrantly methylated-differentially expressed genes and pathways in colorectal cancer
... ous differentially expressed genes (DEGs) in CRC ...methylated genes (DMGs) ...key genes and pathways involved in multiple cellular process and biological ...
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Differentially expressed genes between systemic sclerosis and rheumatoid arthritis
... KEGG pathway enrichment analyses of the identified DEGs demonstrated six key significantly enriched path- ways, including ECM – receptor interaction and primary immunodeficiency, which is in line with the known ...
10
ORdensity: user-friendly R package to identify differentially expressed genes
... informative genes whose patterns of expression differ according to the experimen- tal ...these differentially expressed genes ...of genes, a relatively small number of samples and it is ...
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Effect of hyperoside on cervical cancer cells and transcriptome analysis of differentially expressed genes
... DEGs: differentially expressed genes; TF: transcription factor; GO: gene ontology; BP: biological processes; KEGG: Kyoto Encyclopedia of Gene and Genome; HPV: human papillomavirus; NF-κB: nuclear ...
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Density Based Pruning for Identification of Differentially Expressed Genes from Microarray Data
... Methods Differentially expressed genes are those genes with sig- nificant difference in expression levels among two or more ...rank genes. The limitation of this rank- ing scheme is ...
11
The impact of read length on quantification of differentially expressed genes and splice junction detection
... One of the main questions for a researcher performing a sequencing experiment is the length of reads to use and whether to use single-end reads or paired-end reads. Lon- ger reads should, a priori, increase the level of ...
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Investigation of reproducibility of differentially expressed genes in DNA microarrays through statistical simulation
... of differentially expressed genes (DEGs) from highly similar studies across laboratories and ...overlapping genes between DEGs from two similar simulated datasets as the measure of ...
5
IDENTIFICATION OF DIFFERENTIALLY EXPRESSED GENES USING BI CLUSTERING
... the genes into homogeneous clusters they are differentially expressed and non-differentially obtained from various clustering techniques for different data ...selecting differentially ...
6
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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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 ...
7
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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Statistical Tests for Identification of Differentially Expressed Genes in Microarray Data
... experiments, differentially expressed genes, or discriminator genes, are the genes with considerably different expression patterns in two user-defined ...of genes, and which ...
6
Identification of Differentially Expressed Genes with Artificial Components the acde Package
... regulated genes as the final output of the analysis, we recommend taking U (l ∗ ) and D (l ∗ ) from the first approach as reference, and assessing their behaviour through time using the second ...of ...
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Microarray data quality control improves the detection of differentially expressed genes
... Microarray Quality Outlier Microarrays have become a routine tool for biomedical research. Data quality assessment is an essential part of the analysis, but it is still not easy to perform objectively or in an automated ...
5
Statistical methods for identifying differentially expressed genes in RNA-Seq experiments
... for genes based upon the approximate/asymptotic null ...highly expressed genes but performs poorly for lowly expressed ...of differentially expressed ...expressed ...
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Microarray data analysis: a practical approach for selecting differentially expressed genes
... Differentially expressed genes will be defined herein as gene data lying outside the normal distribution of differences with a control state, and which can not be ascribed to chance or natural ...of ...
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Screening and functional analysis of differentially expressed genes in EBV transformed lymphoblasts
... 1,745 differentially expressed genes were ...multiple genes and pathways in virus-host ...1,745 differentially expressed ...
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Detection of differentially expressed genes in the early developmental stage of the mouse mandible
... any differentially expressed genes which might be involved in the initiation of ...be differentially expressed genes. These genes are functionally related to protein ...
6
Identification of differentially expressed genes in the development of osteosarcoma using RNA-seq
... In this study, we used high-throughput RNA- sequencing to obtain mRNA expression data from peripheral blood of normal controls, primary OS and metastatic OS patients and to identify differentially expressed ...
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