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Handbook of bioinformatics / Ed. Christina Marshall

Ligado a: Gennome-wide characterisation of gene expression in rice leaf blades at 25ºC and 30ºCLigado a: A neural-network-based approach to white blood cell classificationLigado a: A comparative analysis of synonymous codon usage bias pattern in human Albumin superfamilyLigado a: Tumor necrosis factor-alpha as a diagnostic marker for neonatal sepsis: a meta-analysisLigado a: Robust microarray meta-analysis identities differentially expressed genes for clinical predictionLigado a: A learning-based approach for biomedical word sense disambiguationLigado a: A hierarchical method for removal of baseline drift from biomedical signals: application in ECG analysisLigado a: Biomedical informatics for computer-aided decision support systems: a surveyLigado a: NCK2 is significantly associated with opiates addiction in african-origin menLigado a: A novel partial sequence alignment tool for finding large delectionsLigado a: Novel computational methodologies for structural modeling of spacious ligand binding sites of G-protein-coupled receptors: development and application to human Leukotriene B4 receptorLigado a: A comparative genomic study in study in schizophrenic and in bipolar disorder patients, based on microarray expression profiling meta-analysisLigado a: Survival analysis for penalised regression and matrix factorizationLigado a: Ligand-based virtual screening using Bayesian inference network and reweighted fragmentsLigado a: Gene expression profiles for predicting metastasis in breast cancer: a cross-study comparison of classification methodsLigado a: Extracting physicochemical features to predict protein secondary structureLigado a: Effects of pooling samples on the performance of classification algorithms: a comparative studyLigado a: Discovering weighted patterns in intro sequences using self-adaptative harmony search and back-propagation algorithmsLigado a: Prediction of associations between OMIM diseases and MicroRNAs by random walk on OMIN disease similarity networkLigado a: Mortality predicted accuracy for hepatocellular carcinoma patients with hepatic resection using artificial neural networkLigado a: TOPPER: topology prediction of transmembrane protein based on evidential reasoningAutor secundário: Marshall, Christina, ed.Idioma: Inglês.País: Estados Unidos.Publicação: New York : Callisto Reference, 2015Descrição: 199 p.ISBN: 9781632393739.Assunto - Nome comum: Biologia | Bioinformática Classificação: 6000 - Ciências Biológicas | 6060 - Bioinformática Recursos em linha:Clicar aqui para aceder online Tipo de documento:
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Livro Livro Biblioteca ISPA B MARS1 Disponível 19840

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