Ty toward precise illness classification.PLoS Comput Biol.;e..Su J, Yoon BJ, Dougherty ER.Correct and reliable cancer classification according to probabilistic inference of pathway activity.PLoS 1.;e..Su J, Yoon BJ, Dougherty ER.Identification of diagnostic subnetwork MK-8745 site markers for cancer in human protein rotein interaction network.BMC Bioinformatics.;(suppl)S.Su J, Yoon BJ.Identifying dependable subnetwork markers in protein rotein interaction network for classification of breast cancer metastasis.In Acoustics Speech and Signal Processing, Dallas; ..Taylor IW, Linding R, WardeFarley D, et al.Dynamic modularity in protein interaction networks predicts breast cancer outcome.Nat Biotechnol.;..Carter GW, Galas DJ, Galitski T.Maximal extraction of biological data from genetic interaction information.PLoS Comput Biol.;e..Dutkowski J, Ideker T.Protein networks as logic functions in development and cancer.PLoS Comput Biol.;e..Pavlidis P, Qin J, Arango V, Mann JJ, Sibille E.Making use of the gene ontology for microarray data mining a comparison of approaches and application to age effects in human prefrontal cortex.Neurochem Res.;..Kanehisa M, Goto S, Kawashima S, Nakaya A.The KEGG databases at GenomeNet.Nucleic Acids Res.;..Subramanian A, Tamayo P, Mootha VK, et al.Gene set enrichment analysis a knowledgebased strategy for interpreting genomewide expression profiles.Proc Natl Acad Sci USA.;..Tomfohr J, Lu J, Kepler TB.Pathway level analysis of gene expression employing singular value decomposition.BMC Bioinformatics.;..Liu Q , Sung AH, Chen Z, Liu J, Huang PubMed ID:http://www.ncbi.nlm.nih.gov/pubmed/21466451 X, Deng Y.Feature choice and classification of MAQCII breast cancer and many myeloma microarray gene expression information.PLoS One.;e..Liu H, Li J, Wong L.A comparative study on feature selection and classification methods utilizing gene expression profiles and proteomic patterns.Genome Inform.;..Saeys Y, Inza I, Larra ga P.A critique of feature selection strategies in bioinformatics.Bioinformatics.;..Ding C, Peng H.Minimum redundancy function choice from microarray gene expression data.J Bioinform Comput Biol.;..Ruiz R, Riquelme J, AguilarRuiz J.Heuristic search over a ranking for feature choice.Lect Notes Comput Sci.;..Mundra PA, Rajapakse JC.SVMRFE with MRMR filter for gene selection.IEEE Trans Nanobioscience.;..Keshava Prasad TS, Goel R, Kandasamy K, et al.Human protein reference database update.Nucleic Acids Res.;(Database issue)D..Fawcett T.An introduction to ROC evaluation.Pattern Recognit Lett.; ..Schnitt SJ.Classification and prognosis of invasive breast cancer from morphology to molecular taxonomy.Mod Pathol.;(suppl)S.CanCer InformatICs (s)
reviewcoaching individuals throughout pulmonary function testing a practical guideHeidi J Cheung MHS RRT CRE RCPTP, Lawrence Cheung MD FRCPC FCCPHJ Cheung, L Cheung.Coaching individuals throughout pulmonary function testing a practical guide.Can J Respir Ther ;.Pulmonary function tests are an essential tool to help in the diagnosis and management of patients with respiratory illness.Making sure that the tests are of acceptable top quality is crucial.Acceptable pulmonary function test high-quality demands, amongst other people, optimal patient functionality.Optimal patient performance, in turn, demands adequate coaching from registered respiratory therapists (RRTs) and other pulmonary function laboratory personnel.The present article offers methods and tricks to aid RRTs coach individuals for the duration of testing.The authors briefly overview the elements of pulmonary function testing, then describe elements th.