This book will introduce contributions, both methodological and technical, that have been made and are currently in progress in the field of computational biology as a resource in cancer research and oncology. This volume will illustrate the tools used in this area through a wide range of timely applications in genetics, genomics, and biomedical areas. INDICE: Identification of relevant genes from microarray experiments basedon partial least squares weights: Application to cancer genomics.- Geometric biclustering and its applications to cancer tissue classification based on DNAmicroarray gene expression data.- Statistical analysis on microarray data: selection of gene prognosis signatures.- Agent-based modeling of ductal carcinoma in situ: application to patient-specific breast cancer modelling.- Multi-cluster class based classification for the diagnosis of suspicious areas in digital mammograms.- Analysis of cancer data using evolutionary computation.- Analysis of population-based genetic association studies applied to cancer susceptibility and prognosis.- Selected applications of graph-based tracking methods for cancer research.- Recent advances in cell classification for cancer research and drug discovery.- Computational tools and resources for systems biology approaches in cancer.- Laser speckle imaging for blood flow analyses.- The Challenges in Blood Proteomic Biomarker Discovery.
- ISBN: 978-1-4419-0810-0
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 250
- Fecha Publicación: 01/09/2009
- Nº Volúmenes: 1
- Idioma: Inglés