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In depth discussions of the mathematical analysis required to extract insights from complex bodies of biological datasets, to aid development in the field novel algorithms, methods and software tools for genetic variability, molecular dynamics, and complex biological systems are presented in this book.
Image segmentation, processing and analysis in microscopy and life science.- Image analysis and classification for high-throughput screening of embryonic stem cells.- Exploiting “mental” images in artificial neural network computation.- Applying design of experiment methodology to PEI toxicity assay on neural progenitor cells.- A design of experiment approach to optimize an image analysis protocol for drug screening.- Computational modeling of miRNA biogenesis.- Tunicate neurogenesis: the case of the SoxB2 missing CNE.- MECP2: a multifunctional protein supporting brain complexity.- DNA barcode classification using general regression neural network with different distance models.- First application of a distance-based outlier approach to detect highly differentiated genomic regions across human populations.- Predicting the metagenomic content using multiple CART trees.- A statistical approach to infer 3D chromatin structure.- Basic exploratory proteins analysis with statistical methods applied on structural features.- Modeling of Protein Surface using Parallel Heterogeneous Architectures.
Maria Brigida Ferraro, Paolo Giordani, Barbara Vantaggi, Marek Gagolewski, María Ángeles Gil, Przemysław Grzegorzewski, Olgierd Hryniewicz, Przemys¿aw Grzegorzewski
Mario R. Guarracino, Fréderic Vivien, Jesper Larsson Traff, Mario Cannataro, Marco Danelutto, Anders Hast, Francesca Perla, Andreas Knüpfer, Benjamino Di Martino, Michael Alexander