[PDF] Top 20 Integration of gene expression data with prior knowledge for network analysis and validation
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Integration of gene expression data with prior knowledge for network analysis and validation
... database knowledge with expression data, namely for instance Cytoscape [40] or TS-REX ...proposed gene expres- sion analysis work-flow differs fundamentally from the one implemented in ... See full document
12
Bayesian network prior: network analysis of biological data using external knowledge
... biological knowledge by incorporating only certain features, such as net- work topology or binding sites in promoter ...external knowledge are em- ...of prior knowledge, regardless of its ... See full document
9
Genomic data integration & gene expression analysis of single cells
... integrating data from dierent sources is an important part of modern biomedical ...of data integration is the development of tailored statistical methods that are able to lever- age knowledge ... See full document
149
Towards a network entropy formalism for gene expression data analysis
... differential expression statistical analyses are too simplistic, since they do not consider the complexity of the underlying biological system, mainly based on specific interaction between genes (at a transciptomic, ... See full document
7
Computational analysis of gene expression data
... grained analysis of the reactivity of genes at various response ...classic network analysis for extraction, identification and analysis, we have uncovered or- ganisational structure in graphs, ... See full document
323
Knowledge Discovery Approaches to Gene Expression Data Interpretation
... the data are insufficient to state indisputable ...more data should be included to support these ...the analysis of non–linear inter–relationships among genes for distinguishing lymphoma subtypes, we ... See full document
6
Towards knowledge-based gene expression data mining
... of knowledge-based data analysis stems from automation and the incorporation of this phase within the analysis pro- ...with knowledge bases may reveal which data-based find- ings ... See full document
16
Network visualization and analysis of gene expression data using BioLayout Express 3D
... and analysis of biological networks and pathways, as well as more generic network analysis and visualization platforms 10 – 13 ...the network-based ...location, expression level, etc. ... See full document
16
SPSNet: subpopulation-sensitive network-based analysis of heterogeneous gene expression data.
... Analysis on a dataset with more than two subgroups The rat toxicogenomics RNA-Seq dataset [ 17 ], described in “ Methods ” section (Data), is an ideal test-bed for assess- ing the performance of SPSNet ... See full document
17
Insights into TREM2 biology by network analysis of human brain gene expression data.
... - lation of cell migration and morphology ( Harada et al., 2012 ; Mizesko et al., 2013 ). APBB1IP (also known as RIAM) encodes the Rap1-GTP-interacting adaptor molecule (RIAM) and has been implicated in mediating changes ... See full document
16
Integrating heterogeneous gene expression data for gene regulatory network modelling
... In this study, the four datasets retrieved from online databases had already been normalised for noise by the authors themselves, but given the different platforms used, the data values had different amplitudes. ... See full document
13
Consensus Network Inference of Microarray Gene Expression Data
... of network algorithms and intra-modules for their ability to identify biological meaningful modular ...this data, we can see that the performance of RedeR and WGCNA improves as the number of modules is ... See full document
234
Lung cancer gene expression database analysis incorporating prior knowledge with support vector machine-based classification method
... microarray data mostly rely on a variety of fea- ture selection methods and classifiers for selecting inform- ative genes ...of gene expression data is as follows: first, a subset of genes ... See full document
7
Applying Gene Ontology to Microarray Gene Expression Data Analysis
... mapping gene pairs identified with DTW distance is gathered, we then add GO information into our ...a gene pair if the two genes in the pair have GO annotation terms in ...genes, gene products ... See full document
6
Relational Descriptive Analysis of Gene Expression Data
... in gene expression data that also have functional similarity in the background knowledge formally represented with gene annotation terms from the gene ontol- ...ical data ... See full document
12
First step toward gene expression data integration: transcriptomic data acquisition with COMMAND>_
... integrate gene expression data for analysis and exploration at a broader ...towards gene expression data integration, the first step is common to any proposed ... See full document
9
Identification of potential blood biomarkers for Parkinson’s disease by gene expression and DNA methylation data integration analysis
... all gene region-associated CpGs to measure gene methylation level and we identified 891 significantly differentially methylated genes, which contain 125 hyper-methylated genes and 766 hypo-methylated genes ... See full document
15
Integration of Prior Biological Knowledge into Support Vector Machines
... of knowledge which can help to accomplish this task. Examples of this gene-related knowledge are sequence information, splice variants, expression measurements, functional annotation, ... See full document
117
Weighted Gene Co-expression Network Analysis for RNA-Sequencing Data of the Varicose Veins Transcriptome
... the expression of NLRP3 inflammasome markers, since those patients often presented hypertension, diabetes and obesity, which have been associated with NLRP3 inflammasome ...extensive analysis, over ... See full document
10
Classification approaches for microarray gene expression data analysis
... unknown gene sample based on microarray data using SVM and comparing the results with two other ...provides analysis of two different kernels of SVM, namely “linear kernels and the radial ... See full document
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