From statistical physics to data-driven modelling : with applications to quantitative biology

From statistical physics to data-driven modelling : with applications to quantitative biology / Simona Cocco, Rémi Monasson, Francesco Zamponi.

"Today's science is characterised by an ever-increasing amount of data, due to instrumental and experimental progress in monitoring and manipulating complex systems made of many microscopic constituents. How can we make sense of such data, and use them to enhance our understanding of biolo...

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Bibliographic Details
Main Authors: Cocco, Simona (Author), Monasson, Rémi (Author), Zamponi, Francesco, 1979- (Author)
Format: eBook
Language:English
Published: Oxford ; New York, NY : Oxford University Press, [2022]
Subjects:
Statistical physics.
Biology > Data processing.
Quantitative research.
Biology > Data processing
Quantitative research
Statistical physics
Physics.
Science.
Online Access:Click for online access
Table of Contents:
  • 1 Introduction to Bayesian inference
  • 2 Asymptotic inference and information
  • 3 High-dimensional inference: searching for principal components
  • 4 Priors, regularisation, sparsity
  • 5 Graphical models: from network reconstruction to Boltzmann machines
  • 6 Unsupervised learning: from representations to generative models
  • 7 Supervised learning: classification with neural networks
  • 8 Time series: from Markov models to hidden Markov models

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