Titlebook: Mathematical Models in Biology; Bringing Mathematics Valeria Zazzu,Maria Brigida Ferraro,Mario R. Guarr Book 2015 Springer International Pu

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Predicting the Metagenomics Content with Multiple CART Trees,ad and stored in an environment-associated dataset used to build a robust machine learning procedure based on multiple CART trees. Finally, for each read the CART trees are asked about their taxa and the most voted ones are selected. The method was tested using simulated and public human gut microbi

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DNA Barcode Classification Using General Regression Neural Network with Different Distance Models, sequence and the input unknown sequence, both represented using a vector space spectral representation. In this paper we will analyse the effectiveness of different distance models in the GRNN implementation and will compare the obtained results in the classification of full length sequences and degraded samples.

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Basic Exploratory Proteins Analysis with Statistical Methods Applied on Structural Features,t has been processed by means of simple correlation, partial correlation and principal component analysis (PCA), highlighting family-independent or family-specific relationships, and possible outliers for the dataset itself. The results can be useful to connect these features to functional protein properties.

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Image Analysis and Classification for High-Throughput Screening of Embryonic Stem Cells, analysis and classification of digital images of mESC colonies grown under standardized assay conditions. We believe that the combined use of CF assay and the software tool should enhance future elucidation of the mechanisms that regulate mESCs propagation, metastability, and early differentiation.

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First Application of a Distance-Based Outlier Approach to Detect Highly Differentiated Genomic Regi the top-. genic windows exhibiting the highest scores for the three distances. The outliers detected by this approach were screened for their biological significance, showing good overlap with previously known targets of differentiation and positive selection in human populations.