D. Frías

A Statistical Method without Training Step for the Classification of Coding Frame in Transcriptome Sequences

N. Carels, D. Frías, Nicolas Carels, 2013, Bioinformatics and biology insights.

Swine and Poultry Pathogens: the Complete Genome Sequences of Two Strains of Mycoplasma hyopneumoniae and a Strain of Mycoplasma synoviae

A. T. Vasconcelos, Diego Frías, Marcelo Brocchi, 2005, Journal of bacteriology.

Classifying Coding DNA with Nucleotide Statistics

N. Carels, D. Frías, 2009, Bioinformatics and biology insights.

Betacoronaviruses genome analysis reveals evolution toward specific codons usage: Implications for SARS‐CoV‐2 mitigation strategies

M. Ciccozzi, Álvaro Salgado, M. Giovanetti, 2021, Journal of medical virology.

Human Retrovirus Codon Usage from tRNA Point of View: Therapeutic Insights

T. de Oliveira, D. Frías, V. Fonseca, 2013, Bioinformatics and biology insights.

Finding gene promoters in the genome of the fungus crinipellis perniciosa using feed-forward neural networks

D. Frías, J. Cascardo, R. Vidal, 2004, Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine Learning for Signal Processing, 2004..

Universal Features for the Classification of Coding and Non-coding DNA Sequences

Nicolas Carels, Ramon Vidal, Diego Frías, 2009, Bioinformatics and biology insights.

Investigation of polymorphisms in the genome of Dengue virus

Paulo Roberto Santana de Melo, N. Carels, D. Frías, 2007 .

Growth Functions as a tool to model SARS-CoV-2 pandemic trajectory and related-deaths worldwide

P. Ramos, D. Frías, V. Fonseca, 2021, medRxiv.