IMPROVING THE OUTPUT OF SIGNALING PATHWAY IMPACT ANALYSIS
Journal Title: Revista Romana de Statistica - Year 2013, Vol 61, Issue 3
Abstract
Recently biologists want to find out the significant gene sets instead of individual gene. Many packages in different software mostly in R language were developed to find out the gene sets which are significantly regulated. Among them some packages are able to discover up and down regulation as well. Signaling pathway impact analysis (SPIA) is one of them. In this study an approach is mentioned which can be improved the output of SPIA. I proposed that using moderated t values gives more significant results instead of using logFC (log fold change) from Limma’s output in order to calculate probability of perturbation in SPIA
Authors and Affiliations
Mohammad Ohid ULLAH
THE IMPLEMENTATION OF THE EUROPEAN STATISTICS CODE OF PRACTICE IN THE REPUBLIC OF MOLDOVA
To assure the high quality of statistical products and services from the users’ perspectives has become a major concern for the national statistical institutes within the European Statistical System (ESS), as well as for...
Assessment and Recognition of Intellectual Capital - Concrete Implications of the Accounting in the Management of Sustainable Development
Intangible assets are the most important sources of competitive advantage. According to the new perspective supported by endogenous growth theory, the traditional factors of production have diminished the importance. Sim...
Transformări în sistemul de învăţământ superior din România după 1990
Învăţământul reprezintă un factor esenţial în dezvoltarea oricărei ţări. Sistemul de învăţământ superior din România a cunoscut transformări importante în ultimii 23 de ani. În articol se prezintă evoluţia unor indicator...
Management of Information – Vector of Business Competitivity
The evolution and development of human society leads towards an environment of information and knowledge. Therefore, the performance must be based, at least partly, on the proper management of information. This section o...
Linear Regression Model
Sometimes, for estimating parameters using other techniques of estimation, which cannot be incremental transformations, linear estimation of parameters is made by numerical methods. Linear regression model is based on th...