Daniel Berrar
About
Daniel Berrar has authored 37 papers that have received a total of 1.0k indexed citations.
This includes 14 papers in Molecular Biology, 14 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. The topics of these papers are Machine Learning and Data Classification (7 papers), Bioinformatics and Genomic Networks (6 papers) and Gene expression and cancer classification (5 papers). Daniel Berrar is often cited by papers focused on Machine Learning and Data Classification (7 papers), Bioinformatics and Genomic Networks (6 papers) and Gene expression and cancer classification (5 papers) and collaborates with scholars based in Japan, United Kingdom and Germany. Daniel Berrar's co-authors include Werner Dubitzky, Philippe Lopes, Alfons Schuster, Ian Bradbury and Karl F. Hoffmann and has published in prestigious journals such as Bioinformatics, Expert Systems with Applications and BMC Bioinformatics
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