TITLE

Literature Lab: a method of automated literature interrogation to infer biology from microarray analysis

PUB. DATE
January 2007
SOURCE
BMC Genomics;2007, Vol. 8, p461
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
No abstract available.
ACCESSION #
34925181

 

Related Articles

  • Finding consistent disease subnetworks across microarray datasets. Soh, Donny; Difeng Dong; Yike Guo; Limsoon Wong // BMC Bioinformatics;2011 Supplement 13, Vol. 12 Issue Suppl 13, p1 

    Background: While contemporary methods of microarray analysis are excellent tools for studying individual microarray datasets, they have a tendency to produce different results from different datasets of the same disease. We aim to solve this reproducibility problem by introducing a technique...

  • Gene Ontology annotation of the rice blast fungus, Magnaporthe oryzae. Shaowu Meng; Brown, Douglas E.; Ebbole, Daniel J.; Torto-Alalibo, Trudy; Yeon Yee Oh; Jixin Deng; Mitchell, Thomas K.; Dean, Ralph A. // BMC Microbiology;2009 Supplement 1, Vol. 9, Special section p1 

    Background: Magnaporthe oryzae, the causal agent of blast disease of rice, is the most destructive disease of rice worldwide. The genome of this fungal pathogen has been sequenced and an automated annotation has recently been updated to Version 6...

  • Using Pathway Signatures as Means of Identifying Similarities among Microarray Experiments. Beltrame, Luca; Rizzetto, Lisa; Paola, Raffaele; Rocca-Serra, Philippe; Gambineri, Luca; Battaglia, Cristina; Cavalieri, Duccio // PLoS ONE;2009, Vol. 4 Issue 1, p1 

    Widespread use of microarrays has generated large amounts of data, the interrogation of the public microarray repositories, identifying similarities between microarray experiments is now one of the major challenges. Approaches using defined group of genes, such as pathways and cellular networks...

  • Combining literature text mining with microarray data: advances for system biology modeling. Faro, Alberto; Giordano, Daniela; Spampinato, Concetto // Briefings in Bioinformatics;Jan2012, Vol. 13 Issue 1, p61 

    A huge amount of important biomedical information is hidden in the bulk of research articles in biomedical fields. At the same time, the publication of databases of biological information and of experimental datasets generated by high-throughput methods is in great expansion, and a wealth of...

  • Biological pathway selection through nonlinear dimension reduction. Zhu, Hongjie; Li, Lexin // Biostatistics;Jul2011, Vol. 12 Issue 3, p429 

    In the analysis of high-throughput biological data, it is often believed that the biological units such as genes behave interactively by groups, that is, pathways in our context. It is conceivable that utilization of priorly available pathway knowledge would greatly facilitate both...

  • Microarrays and clinical dentistry. Patrick, Winston; Whipple, Mark E.; Jenssen, Tor-Kristian; Todd, Randy; Epstein, Joel B.; Ohno-Machado, Lucila; Sonis, Stephen T.; Park, Peter J. // Journal of the American Dental Association (JADA);Apr2003, Vol. 134 Issue 4, p456 

    Studies microarrays in clinical dentistry. Review of literature on microarray technology arising from the Human Genome Project; Usefulness in the analysis of oral cavity diseases; Implications for dental care.

  • Seeded Bayesian Networks: Constructing genetic networks from microarray data. Djebbari, Amira; Quackenbush, John // BMC Systems Biology;2008, Vol. 2, Special section p1 

    Background: DNA microarrays and other genomics-inspired technologies provide large datasets that often include hidden patterns of correlation between genes reflecting the complex processes that underlie cellular metabolism and physiology. The challenge in analyzing large-scale expression data...

  • An Automated Method for Segmentation of Epithelial Cervical Cells in Images of ThinPrep. Harandi, Negar M.; Sadri, Saeed; Moghaddam, Noushin A.; Amirfattahi, Rassul // Journal of Medical Systems;Dec2010, Vol. 34 Issue 6, p1043 

    We present an automated method for segmentation of epithelial cells in images taken from ThinPrep scenes by a digital camera in a cytology lab. The method covers both steps of localization of cell objects in low resolution and detection of cytoplasm and nucleus boundary in high resolution. The...

  • Building gene expression profile classifiers with a simple and efficient rejection option in R. Benso, Alfredo; Di Carlo, Stefano; Politano, Gianfranco; Savino, Alessandro; Hafeezurrehman, Hafeez // BMC Bioinformatics;2011 Supplement 13, Vol. 12 Issue Suppl 13, p1 

    Background: The collection of gene expression profiles from DNA microarrays and their analysis with pattern recognition algorithms is a powerful technology applied to several biological problems. Common pattern recognition systems classify samples assigning them to a set of known classes....

  • SWISS MADE: Standardized WithIn Class Sum of Squares to Evaluate Methodologies and Dataset Elements. Cabanski, Christopher R.; Yuan Qi; Xiaoying Yin; Bair, Eric; Hayward, Michele C.; Cheng Fan; Jianying Li; Wilkerson, Matthew D.; Marron, J. S.; Perou, Charles M.; Hayes, D. Neil // PLoS ONE;2010, Vol. 5 Issue 3, p1 

    Contemporary high dimensional biological assays, such as mRNA expression microarrays, regularly involve multiple data processing steps, such as experimental processing, computational processing, sample selection, or feature selection (i.e. gene selection), prior to deriving any biological...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics