Mathematical Models in Biology Bringing Mathematics to Life

Mathematical Models in Biology Bringing Mathematics to Life / edited by Valeria Zazzu, Maria Brigida Ferraro, Mario R. Guarracino.

This book presents an exciting collection of contributions based on the workshop “Bringing Maths to Life” held October 27-29, 2014 in Naples, Italy.  The state-of-the art research in biology and the statistical and analytical challenges facing huge masses of data collection are treated in this Work....

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Zazzu, Valeria (Editor), Ferraro, Maria Brigida (Editor), Guarracino, Mario R. (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:Springer eBook Collection.
Subjects:
Biomathematics.
Life sciences.
Matrix theory.
Algebra.
Mathematical analysis.
Analysis (Mathematics).
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 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.

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