… As a result, the need for computer/statistical/machine learning techniques is today stronger
… overview of bioinformatics from a machine-learning perspective. Machine-learning methods …

… Brief history of bioinformatics. 1.2. Database application in bioinformatics. 1.3. Web tools
and … Applications to bioinformatics. 10.5. A case study on Burkholderia pseudomallei gene …

… Several pioneering papers have alerted (13) the machine learning community about the
need to apply statistical tests in order to complete a solid and reliable comparison between …

… The tools are compared on the basis of (a) whether the parameters that need to be user set
are small or large; (b) the boundary generated by tool to classify or reduce features is linear …

… improvement, machine learning can cope with this problem. … Machine learning can be easily
adapted to a changing environment. This benefits system designers, as they do not need to …

… , but besides the identification of genes, we need to understand their properties and the
functions of … transcriptomics is another well-established bioinformatics domain where CI and ML …

… In the machine learning task, a learning model is trained on a set of training data, but then
it is applied to make predictions on new dataset. We need to consider the general situation …

… applied machine learning algorithm in bioinformatics. The case study of ANN in bioinformatics
… The common issues faced while designing ANN for bioinformatics applications need to be …

… machine learning, supervised and unsupervised learning, and learning supervised machine
learning … For supervised learning, we focus on support vector machines (SVMs), which is a …

… in its application to bioinformatics and has demonstrated … DL in bioinformatics, covering
multiple types of machine learning (… in the bioinformatics field as follows, which need to be tackled…