… databases, most new information relevant to biology research is still recorded as … data mining
technologies can accelerate their growth. Here, we review literature data mining in biology. …

… The branch of biology concerned in this study is called molecular biology. Both proteins
and nucleic acids are linear polymers of smaller molecules called monomers. The term …

… An emerging research area in computational biology and biotechnology is … data mining
and machine learning methods for an analysis of complex systems in computational biology. It …

… /noisy data, integrating several data … Data mining techniques are designed to manage such
data analysis difficulties and to enable biologists and scientists employing data mining obtain …

… A fundamental issue is that the biomedical data repositories … data remains a challenging
task. We are looking forward to new data mining techniques that can assist systems biologists to …

… Therefore, a growing number of data mining algorithms were employed in the prediction
tasks of computational biology and biomedicine. Advanced data mining techniques have also …

… could be combined with existing clinical biorepositories and linked through a geocode to
test hypotheses related to the interaction of the macro-environment and biology in disease …

… Although our main focus is on text mining and data integration, we first briefly review the
most important IR, ER and IE methodologies that are used for text and data mining (see Refs 2–…

… Lonardi’s recent research interests include designing of algorithms, computational molecular
biology, data compression, and data mining. He has published more than 30 papers in …

… to different types of data. In this review we first discuss the data mining life cycle and then …
fields, including molecular biology. Indeed, it has been stated that “DNA sequencing and …