Mathematical Models in Biology: Bringing Mathematics to Life

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.