SUPPORT VECTOR MACHINE CLASSIFICATION OF MICROARRAY DATA

Hindawi Publishing CorporationEURASIP Journal on Advances in Signal ProcessingVolume 2008, Article ID 612397, 10 pagesdoi:10.1155/2008/612397Research ArticleDetect Key Gene Information in Classificationof Microarray DataYihui LiuSchool of Computer Science and Information Technology, Sha[r]

unsatisfactory [76, 77], though interestingly, the best methods for protein secondarystructure prediction are based on NN and SVM [78]. Furthermore, statistical approachesrequire accurate and sufficient training data, thus these methods are not applicable toproblem domains that do not have en[r]

Issued by Date of release Version Page Hr. Dessl 00 4/4 The basic classification takes place EDV supported with the program " ChemGes EB ". With special cases the additional evaluation takes place in accordance with the applicable documents. The re-classification effected from[r]

classified into the responsive class by an ANN. Finally, SVM has been compiled all the classify result of ANN. Our proposal classification model has brought together many ANN and one SVM. Let it denote ANN_SVM. ANN_SVM has been applied for Roman numerals recognition application and the[r]

complicated regulatory interactions between miRNAand target genes, which can decide cellular fate or dis-ease progression [28,29]. RT-PCR of genes selected bythe analysis from the comparison of microarray dataof miR124a-treated HeLa cells with miR124a-predictedtargets through th[r]

verified our distributed information processing and decisionfusion approaches in a sensor network environment.The data was collected according to the block diagramof the experimental setup as shown in Figure 7. The setupconsists of a humanoid animation model that is consistentwith the s[r]

FEBS Journal 275 (2008) 2372–2384 ª 2008 The Authors Journal compilation ª 2008 FEBS 2375the belief that cells are at equilibrium unless driven orperturbed away from that state then it is natural toassume that the variability in transcript or protein lev-els in temporally uncharacterized cultures is[r]

carried out in some other space.22Nonlinear support vector machinesKernels and their propertiesA kernel K is a function K : ℜ𝑟 × ℜ𝑟 → ℜ such that ∀ 𝒙, 𝒚 ∈ ℜ𝑟K(𝒙, 𝒚) = Φ(x), Φ(𝒚)The kernel function is designed to compute inner-products in ℋ byusing only the original input data