Epigenetic mechanisms play an important role in the regulation of cell type-specific gene
activities, yet how epigenetic patterns are established and maintained remains poorly …

In the bioinformatics field, the classification of unknown biological sequences is a key task
that is fundamental for simplifying the consistency, aggregation, and survey of organisms …

Deep exploration of histone occupancy and covalent post-translational modifications (eg,
acetylation, methylation) is essential to decode gene expression regulation, chromosome …

This chapter proposes a prototype-based classification approach for analyzing DNA
barcodes that uses a spectral representation of DNA sequences and a non-gradient neural …

The main contribution of this dissertation is the development of a method to train a Support
Vector Regression (SVR) model for the large-scale case where the number of training …

Nucleosome occupancy and histone modifications are among the most significant factors
that influence gene expression. Although Chromatin Immunoprecipitation-chip (ChIP-chip) …

Using Genetic Algorithm, this paper presents a modelling method to generate novel logical-
based features from DNA sequences enriched with H3K4mel histone signatures. Current …

The demand for extracting sophisticated features, capable of effectively predicting gene
interaction networks, from DNA or RNA sequences has increased in computational biology …

Prediction of gene regulatory elements-enhancers is computationally challenging because
features associated with them are ill-understood. Several histone marks are known to be …

This paper presents a GA-based method to generate novel logical-based features,
represented by parse trees, from DNA sequences enriched with H3K4me1 histone …