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      Multiomics analysis on DNA methylation and the expression of both messenger RNA and microRNA in lung adenocarcinoma

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          Most cited references39

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          Cytoscape: a software environment for integrated models of biomolecular interaction networks.

          Cytoscape is an open source software project for integrating biomolecular interaction networks with high-throughput expression data and other molecular states into a unified conceptual framework. Although applicable to any system of molecular components and interactions, Cytoscape is most powerful when used in conjunction with large databases of protein-protein, protein-DNA, and genetic interactions that are increasingly available for humans and model organisms. Cytoscape's software Core provides basic functionality to layout and query the network; to visually integrate the network with expression profiles, phenotypes, and other molecular states; and to link the network to databases of functional annotations. The Core is extensible through a straightforward plug-in architecture, allowing rapid development of additional computational analyses and features. Several case studies of Cytoscape plug-ins are surveyed, including a search for interaction pathways correlating with changes in gene expression, a study of protein complexes involved in cellular recovery to DNA damage, inference of a combined physical/functional interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models.
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            Is Open Access

            edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

            Summary: It is expected that emerging digital gene expression (DGE) technologies will overtake microarray technologies in the near future for many functional genomics applications. One of the fundamental data analysis tasks, especially for gene expression studies, involves determining whether there is evidence that counts for a transcript or exon are significantly different across experimental conditions. edgeR is a Bioconductor software package for examining differential expression of replicated count data. An overdispersed Poisson model is used to account for both biological and technical variability. Empirical Bayes methods are used to moderate the degree of overdispersion across transcripts, improving the reliability of inference. The methodology can be used even with the most minimal levels of replication, provided at least one phenotype or experimental condition is replicated. The software may have other applications beyond sequencing data, such as proteome peptide count data. Availability: The package is freely available under the LGPL licence from the Bioconductor web site (http://bioconductor.org). Contact: mrobinson@wehi.edu.au
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              Regression Models and Life-Tables

              D R Cox (1972)
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                Author and article information

                Contributors
                Journal
                Journal of Cellular Physiology
                J Cell Physiol
                Wiley
                0021-9541
                1097-4652
                May 2019
                October 28 2018
                May 2019
                : 234
                : 5
                : 7579-7586
                Affiliations
                [1 ]Department of Respiratory Medicine Harbin Medical University Cancer Hospital Harbin China
                [2 ]Department of Surgery The First Affiliated Hospital of Harbin Medical University Harbin China
                [3 ]Department of Internal Medicine Harbin Red Cross Center Hospital Harbin China
                [4 ]Department of Surgery Harbin Medical University Cancer Hospital Harbin China
                Article
                10.1002/jcp.27520
                30370535
                e8a1566d-d37d-42d4-acd9-30f85e354abc
                © 2019

                http://onlinelibrary.wiley.com/termsAndConditions#vor

                http://doi.wiley.com/10.1002/tdm_license_1.1

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