Computational Biology: New Research
Editat de Alona S Russeen Limba Engleză Hardback – 14 aug 2009
Preț: 997.36 lei
Preț vechi: 1429.56 lei
-30%
Puncte Express: 1496
Preț estimativ în valută:
176.35€ • 207.92$ • 152.21£
176.35€ • 207.92$ • 152.21£
Carte disponibilă
Livrare economică 26 februarie-12 martie
Specificații
ISBN-13: 9781606920404
ISBN-10: 1606920405
Pagini: 441
Ilustrații: colour photos, tables & charts
Dimensiuni: 260 x 180 x 33 mm
Greutate: 0.99 kg
Editura: Nova Science Publishers Inc
Colecția Nova Science Publishers, Inc (US)
Locul publicării:United States
ISBN-10: 1606920405
Pagini: 441
Ilustrații: colour photos, tables & charts
Dimensiuni: 260 x 180 x 33 mm
Greutate: 0.99 kg
Editura: Nova Science Publishers Inc
Colecția Nova Science Publishers, Inc (US)
Locul publicării:United States
Cuprins
Expressed Sequence Tags in cancer genomics; Protein bioinformatics for drug discovery concavity druggability and antibody druggability; A linkage disequilibrium based statistical approach to discovering interactions among SNP alleles at multiple loci contributing to human skin pigmentation variation; Sufficient conditions for exact penalty in constrained optimization on complete metric spaces; How to create a computational medicine study?; Identifying related cancer types; Sample size Calculation and Power in Genomics Studies; Coupling computational and experimental analysis for the prediction of transcription factor E2F regulatory elements in the human gene promoter; Fast Modeling of Protein Structures Through Multi-level Contact Maps; Differentiating superficial and advances urothelial bladder carcinomas based on gene expression profiles analyzed using Self- Organizing maps; Recent issues and computational approaches for developing prognostic gene signatures from gene expression data; Comparison of values and folding time predictions by using Monte-Carlo and Dynamic Programming approaches; Computational methods for protein structural class prediction; Fundamentals of natural computation in living systems; Extraction of position-sensitive promoter constituents; Mathematical models and bioinformatics approaches; Scripting of molecular structure viewer for data analysis using Lua Language interpreter; Computational medicine research in hematology:a study on hemoglobin and prothrombin disorders.