ACE: adaptive cluster expansion for maximum entropy graphical model inference
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
ACE: adaptive cluster expansion for maximum entropy graphical model inference
Authors
Keywords
-
Journal
BIOINFORMATICS
Volume 32, Issue 20, Pages 3089-3097
Publisher
Oxford University Press (OUP)
Online
2016-06-23
DOI
10.1093/bioinformatics/btw328
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Benchmarking Inverse Statistical Approaches for Protein Structure and Design with Exactly Solvable Models
- (2016) Hugo Jacquin et al. PLoS Computational Biology
- Structure of Finite-RSB Asymptotic Gibbs Measures in the Diluted Spin Glass Models
- (2015) Dmitry Panchenko JOURNAL OF STATISTICAL PHYSICS
- Coevolutionary Landscape Inference and the Context-Dependence of Mutations in Beta-Lactamase TEM-1
- (2015) Matteo Figliuzzi et al. MOLECULAR BIOLOGY AND EVOLUTION
- HIV-1 assembly, release and maturation
- (2015) Eric O. Freed NATURE REVIEWS MICROBIOLOGY
- Scaling laws describe memories of host–pathogen riposte in the HIV population
- (2015) John P. Barton et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- From residue coevolution to protein conformational ensembles and functional dynamics
- (2015) Ludovico Sutto et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Fast pseudolikelihood maximization for direct-coupling analysis of protein structure from many homologous amino-acid sequences
- (2014) Magnus Ekeberg et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Large pseudocounts andL2-norm penalties are necessary for the mean-field inference of Ising and Potts models
- (2014) J. P. Barton et al. PHYSICAL REVIEW E
- Improving Contact Prediction along Three Dimensions
- (2014) Christoph Feinauer et al. PLoS Computational Biology
- The Fitness Landscape of HIV-1 Gag: Advanced Modeling Approaches and Validation of Model Predictions by In Vitro Testing
- (2014) Jaclyn K. Mann et al. PLoS Computational Biology
- Translating HIV Sequences into Quantitative Fitness Landscapes Predicts Viral Vulnerabilities for Rational Immunogen Design
- (2013) Andrew L. Ferguson et al. IMMUNITY
- Ising models for neural activity inferred via selective cluster expansion: structural and coding properties
- (2013) John Barton et al. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
- Beyond Inverse Ising Model: Structure of the Analytical Solution
- (2013) Iacopo Mastromatteo JOURNAL OF STATISTICAL PHYSICS
- Spin models inferred from patient-derived viral sequence data faithfully describe HIV fitness landscapes
- (2013) Karthik Shekhar et al. PHYSICAL REVIEW E
- Improved contact prediction in proteins: Using pseudolikelihoods to infer Potts models
- (2013) Magnus Ekeberg et al. PHYSICAL REVIEW E
- From Principal Component to Direct Coupling Analysis of Coevolution in Proteins: Low-Eigenvalue Modes are Needed for Structure Prediction
- (2013) Simona Cocco et al. PLoS Computational Biology
- Three-Dimensional Structures of Membrane Proteins from Genomic Sequencing
- (2012) Thomas A. Hopf et al. CELL
- Bethe–Peierls approximation and the inverse Ising problem
- (2012) H Chau Nguyen et al. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
- Adaptive Cluster Expansion for the Inverse Ising Problem: Convergence, Algorithm and Tests
- (2012) S. Cocco et al. JOURNAL OF STATISTICAL PHYSICS
- Inverse Ising Inference Using All the Data
- (2012) Erik Aurell et al. PHYSICAL REVIEW LETTERS
- Genomics-aided structure prediction
- (2012) J. I. Sulkowska et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- The inverse Ising problem for one-dimensional chains with arbitrary finite-range couplings
- (2011) Giacomo Gori et al. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
- Adaptive Cluster Expansion for Inferring Boltzmann Machines with Noisy Data
- (2011) S. Cocco et al. PHYSICAL REVIEW LETTERS
- Protein 3D Structure Computed from Evolutionary Sequence Variation
- (2011) Debora S. Marks et al. PLoS One
- Direct-coupling analysis of residue coevolution captures native contacts across many protein families
- (2011) F. Morcos et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- High-dimensional Ising model selection using ℓ 1 -regularized logistic regression
- (2010) Pradeep Ravikumar et al. ANNALS OF STATISTICS
- A weakly informative default prior distribution for logistic and other regression models
- (2009) Andrew Gelman et al. Annals of Applied Statistics
- Small-correlation expansions for the inverse Ising problem
- (2009) Vitor Sessak et al. Journal of Physics A-Mathematical and Theoretical
- Replay of rule-learning related neural patterns in the prefrontal cortex during sleep
- (2009) Adrien Peyrache et al. NATURE NEUROSCIENCE
- Ising model for neural data: Model quality and approximate methods for extracting functional connectivity
- (2009) Yasser Roudi et al. PHYSICAL REVIEW E
- Neuronal couplings between retinal ganglion cells inferred by efficient inverse statistical physics methods
- (2009) S. Cocco et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now