𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Correlating Expression Data with Gene Function Using Gene Ontology†

✍ Scribed by Qi Liu; Yong Deng; Chuan Wang; Tie-Liu Shi; Yi-Xue Li


Publisher
John Wiley and Sons
Year
2006
Tongue
English
Weight
101 KB
Volume
24
Category
Article
ISSN
0256-7660

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Microarray data classification using ind
✍ Einar Ryeng; Bjørn Kåre Alsberg 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 359 KB

## Abstract There exists many databases containing information on genes that are useful for background information in machine learning analysis of microarray data. The gene ontology and gene ontology annotation projects are among the most comprehensive of these. We demonstrate how inductive logic p

Improved modulon identification from bac
✍ S. Hedge; E.A. Permina; Y.A. Medvedeva; S.C. Mande; V.J. Makeev 📂 Article 📅 2010 🏛 Elsevier 🌐 English ⚖ 69 KB

is usually characterized by an increase in functionally paralogous proteins or an increase in combinations of functional domains. Large scale phylogenetic analysis can shed light on the relative amounts of functional domains or their combinations and interactions involved in certain regulatory netwo

Chondrocyte gene expression in osteoarth
✍ Karim Eid; Thomas S. Thornhill; Julie Glowacki 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 115 KB

## Abstract Osteoarthritis is characterized by a progressive degradation of cartilage structure and function. This study tests the hypothesis that disease severity is characterized by alterations in expression of cartilage‐specific genes for aggrecan and collagen type II. Cartilage, discarded from

Qualitative assessment of cDNA microarra
✍ Radhakrishnan Nagarajan; Meenakshi Upreti; R.B. Govindan 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 319 KB

A number of microarray studies assume gene expression data to be independent of one another. In this report, we provide evidence of correlation in cDNA microarray gene expression data using classical power spectral analysis and the sophisticated detrended fluctuation analysis (DFA). Such correlation