Data mining for biomedical applications

Autori

• Jinyan Li

Parametri

• 155 pagine
• 6 ore di lettura

• Computer, IT, programmazione

Maggiori informazioni sul libro

InhaltsverzeichnisKeynote Talk.Exploiting Indirect Neighbours and Topological Weight to Predict Protein Function from Protein-Protein Interactions.Database and Search.A Database Search Algorithm for Identification of Peptides with Multiple Charges Using Tandem Mass Spectrometry.Filtering Bio-sequence Based on Sequence Descriptor.Automatic Extraction of Genomic Glossary Triggered by Query.Frequent Subsequence-Based Protein Localization.Bio Data Clustering.gTRICLUSTER: A More General and Effective 3D Clustering Algorithm for Gene-Sample-Time Microarray Data.Automatic Orthologous-Protein-Clustering from Multiple Complete-Genomes by the Best Reciprocal BLAST Hits.A Novel Clustering Method for Analysis of Gene Microarray Expression Data.Heterogeneous Clustering Ensemble Method for Combining Different Cluster Results.In-silico Diagnosis.Rule Learning for Disease-Specific Biomarker Discovery from Clinical Proteomic Mass Spectra.Machine Learning Techniques and Chi-Square Feature Selection for Cancer Classification Using SAGE Gene Expression Profiles.Generation of Comprehensible Hypotheses from Gene Expression Data.Classification of Brain Glioma by Using SVMs Bagging with Feature Selection.Missing Value Imputation Framework for Microarray Significant Gene Selection and Class Prediction.Informative MicroRNA Expression Patterns for Cancer Classification.

Lingua: Inglese

Pubblicato: 2006

(In brossura)