![]() |
A Review of Three Different Studies on Hidden Markov Models for Epigenetic Problems: A Computational Perspective
Kyung-Eun Lee, Hyun-Seok Park
Genomics Inform. 2014;12(4):145-150. Published online 2014 Dec 31 DOI: https://doi.org/10.5808/GI.2014.12.4.145
|
Citations to this article as recorded by
EpiSegMix: a flexible distribution hidden Markov model with duration modeling for chromatin state discovery
Johanna Elena Schmitz, Nihit Aggarwal, Lukas Laufer, Jörn Walter, Abdulrahman Salhab, Sven Rahmann, Janet Kelso
Bioinformatics.2024;[Epub] CrossRef Reliable genotyping of recombinant genomes using a robust hidden Markov model
Rafael Campos-Martin, Sophia Schmickler, Manish Goel, Korbinian Schneeberger, Achim Tresch
Plant Physiology.2023; 192(2): 821. CrossRef Chromatin research and biological engineering: an evolving relationship poised for new biomedical impacts
Karmella A. Haynes
Current Opinion in Systems Biology.2019; 14: 73. CrossRef A critical assessment of hidden markov model sub‐optimal sampling strategies applied to the generation of peptide 3D models
A. Lamiable, P. Thevenet, P. Tufféry
Journal of Computational Chemistry.2016; 37(21): 2006. CrossRef Computational Modelling Approaches on Epigenetic Factors in Neurodegenerative and Autoimmune Diseases and Their Mechanistic Analysis
Afroza Khanam Irin, Alpha Tom Kodamullil, Michaela Gündel, Martin Hofmann-Apitius
Journal of Immunology Research.2015; 2015: 1. CrossRef
|