Position Weight Matrix or Acyclic Probabilistic Finite Automaton: Which model to use? A decision rule inferred for the prediction of transcription factor binding sites

Position Weight Matrix or Acyclic Probabilistic Finite Automaton: Which model to use? A decision rule inferred for the prediction of transcription factor binding sites

Abstract Prediction of transcription factor binding sites (TFBS) is an example of application of Bioinformatics where DNA molecules are represented as sequences of A, C, G and T symbols. The most used model in this problem is Position Weight Matrix (PWM). Notwithstanding the advantage of being simpl...

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Bibliographic Details
Main Authors: Guilherme Miura Lavezzo, Marcelo de Souza Lauretto, Luiz Paulo Moura Andrioli, Ariane Machado-Lima
Format: Article
Language:English
Published: Sociedade Brasileira de Genética 2024-01-01
Series:Genetics and Molecular Biology
Subjects:
Transcription factor binding site
position weight matrix
ChIP-seq
position dependency
model comparison
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572023000700802&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572023000700802&tlng=en

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