Results 101 to 110 of about 2,692,793 (237)

Microarray analysis of gene expression in lupus

Arthritis Research & Therapy, 2003
Recent advances in the study of global patterns of gene expression with the use of microarray technology, coupled with data analysis using sophisticated statistical algorithms, have provided new insights into pathogenic mechanisms of disease ...
M. Crow, J. Wohlgemuth
semanticscholar   +1 more source

Application of Volcano Plots in Analyses of mRNA Differential Expressions with Microarrays

, 2013
Volcano plot displays unstandardized signal (e.g. log-fold-change) against noise-adjusted/standardized signal (e.g. t-statistic or -log10(p-value) from the t test).
Alvord W. G., Auer P. L., Chen Y., Chen Z., Cohen J., Fechner G. T., Guyon I., Göhlmann H., Lee J., Li C., Schwender H., Smyth G. K., Snedecor G. W., Trevino V., Vandesompele J., Welsh B. L., WENTIAN LI, Zhao C.   +17 more
core   +1 more source

A Review Study of Microarray Data Classification with the Application of Dimension Reduction

Journal of Computing Research and Innovation
Background. The growth of gene expression or microarray data, mainly in cancer disease, has become a game changer for feature selection techniques in handling complex data.
Sharifah Nadia Syed Hasan, Noor Wahida Jamil   +1 more
doaj  

Bioinformatics meets machine learning: identifying circulating biomarkers for vitiligo across blood and tissues

Frontiers in Immunology
BackgroundVitiligo is a skin disorder characterized by the progressive loss of pigmentation in the skin and mucous membranes. The exact aetiology and pathogenesis of vitiligo remain incompletely understood.MethodsFirst, a microarray dataset of blood ...
Qiyu Wang, Jingwei Yuan, Jingwei Yuan, Mengdi Zhang, Haiyan Jia, Hongjie Lu, Yan Wu   +6 more
doaj   +1 more source

Bioinformatics: A challenge for statisticians [PDF]

, 2009
Bioinformatics is a subject that requires the skills of biologists, computer scientists, mathematicians and staisticians. This paper introduces the reader to one small aspect of the subject: the study of microarrays. It describes some of the complexities
Upton, Graham J G
core  

Automatic Spot Adressing in cDNA Microarray Images

Journal of Computer Science and Technology, 2008
Complementary DNA (cDNA) microarrays are a powerful high throughput technology developed in the last decade allowing researchers to analyze the behaviour and interaction of thousands of genes simultaneously.
Mónica G. Larese, Juan Carlos Gómez
doaj  

Optimization of gene expression microarray protocol for formalin-fixed paraffin-embedded tissues

Genomics Data, 2016
Formalin-fixed paraffin-embedded (FFPE) tissue is a widely available clinical specimen for retrospective studies. The possibility of long-term clinical follow-up of FFPE samples makes them a valuable source to evaluate links between molecular and ...
Nevin Belder, Öznur Coşkun, Beyza Doğanay Erdoğan, Berna Savaş, Arzu Ensari, Hilal Özdağ   +5 more
doaj   +1 more source

Detection of colon cancer based on microarray dataset using machine learning as a feature selection and classification techniques

SN Applied Sciences, 2020
A. Shafi, M. M. Molla, J. J. Jui, Mohammad Motiur Rahman   +3 more
semanticscholar   +1 more source

Detecting microRNA activity from gene expression data

BMC Bioinformatics, 2010
Background MicroRNAs (miRNAs) are non-coding RNAs that regulate gene expression by binding to the messenger RNA (mRNA) of protein coding genes. They control gene expression by either inhibiting translation or inducing mRNA degradation.
Fitzgerald Katherine A, Björkbacka Harry, Jeffery Ian B, Carpenter Susan B, Madden Stephen F, O'Neill Luke A, Higgins Desmond G   +6 more
doaj   +1 more source

Towards the integration of computational systems biology and high-throughput data: supporting differential analysis of microarray gene expression data

Journal of Integrative Bioinformatics, 2008
The paradigmatic shift occurred in biology that led first to high-throughput experimental techniques and later to computational systems biology must be applied also to the analysis paradigm of the relation between local models and data to obtain an ...
Segata Nicola, Blanzieri Enrico, Priami Corrado   +2 more
doaj   +1 more source