Artificial intelligence and machine learning in bioinformatics
Machine Learning is defined as a computer science discipline where algorithms iteratively
learn from observations to return insights from data without the need for programming …
learn from observations to return insights from data without the need for programming …
Predicting sumoylation sites using support vector machines based on various sequence features, conformational flexibility and disorder
AS Yavuz, OU Sezerman - BMC genomics, 2014 - Springer
Background Sumoylation, which is a reversible and dynamic post-translational modification,
is one of the vital processes in a cell. Before a protein matures to perform its function …
is one of the vital processes in a cell. Before a protein matures to perform its function …
Dual-functioning transcription factors in the developmental gene network of Drosophila melanogaster
Background Quantitative models for transcriptional regulation have shown great promise for
advancing our understanding of the biological mechanisms underlying gene regulation …
advancing our understanding of the biological mechanisms underlying gene regulation …
[PDF][PDF] Research article Dual-functioning transcription factors in the developmental gene network of Drosophila melanogaster
Background: Quantitative models for transcriptional regulation have shown great promise for
advancing our understanding of the biological mechanisms underlying gene regulation …
advancing our understanding of the biological mechanisms underlying gene regulation …
[引用][C] Artificial Intelligence and Machine Learning in Bioinformatics
Y Guo - Communications of the ACM