|
● Machine learning
techniques for bioinformatics and their applications in
biomedicine for tasks such as gene expression analysis,
structural and functional analyses, protein structure
prediction, drug discovery and design, bioinformatics
data mining and knowledge discovery, sequence and
proteomics, visualisation and learning.
● Data base systems and
design, human genome public databanks.
● Synergy between
bioinformatics and medical informatics – applications to
individualised healthcare in areas such as degenerative
and developmental brain diseases (e.g. Alzheimer,
epilepsy, neonatal brain injury). |
●
computational
intelligence techniques and their applications including
artificial neural networks (e.g. Bayesian networks and
support vector machines), fuzzy and neuro-fuzzy systems,
data mining and knowledge discovery, evolutional
computing, intelligent agents, expert systems,
non-linear dynamical analysis methods, intelligent
signal processing, Independent components analysis,
Image processing.
●
New and emerging
methods including data fusion for bioinformatics and
medical informatics, ontology, visualisation.
●
Application to
healthcare, e.g. biodata analysis and decision support
for brain diseases and cancer. |
