Computational Biology Research Group
As much as there is a universe as we look up, there is a universe to explore within ourselves, at micro level. The computational biology research lab at Department of Computer Engineering, University of Peradeniya focuses on exploring the use of Computer science and Engineering to elucidate the biological systems around us and using that knowledge in various applications.
Recent Updates
Last Updated on 25/12/2021
- Our work on Accurate plant disease classification with transfer learning based on leaf images has been accepted for the 16th IEEE conference on Industrial and Automation Systems (ICIIS 2021)
- Our group members will be conducting a workshop on Explainable Machine Learning at ICIIS 2021.
- Our group members will be inovled in a workshop on Feature Engineering in Machine Learning at ICIET 2021.
- Our work on Machine Learning for detecting alzhemizers disease using Next Generation Sequencing Data has been accepted for the IEEE International Conference on Industrial and Financial Automation Systems (ICIAFS ) 2021
- We have been awarded a University of Peradeniya Researh Grant to work further on the project “Counting the uncountable : Estimating species richness from metavirome data”
- Our systematic review titled “Machine learning for plant microRNA prediction: A systematic review” is now available as a preprint.
- Our work miRNAFinder: A Comprehensive Web Resource for Plant Pre-microRNA Classification is now available as a preprint
- Our work on Crop disease detection with Deep learning has been accepted for an oral presentation at iPURSE 2021. Further work on the project is up at https://damayanthiherath.github.io/leaf-disease-classification/ We will be organizing a special session on data engineering for biology and medicine at ICIAFS conference 2021.
People
- Dr Damayanthi Herath
- Dr Asitha Bandaranayake
Collaborators
- Prof. Sen-Lin Tang, Academia Sinica, Taiwan
Past Students
2020
- Sandali Lokuge
- Puwasuru Ihalagedara
- Shyaman Madhawa
- Geeth Priyankara
- Kasun Vimukthi
- Prabath Bandara
- Kaveesha Hewage
- Chamara Gunarathne
- Shehan Perera
Publications
2021
| Article | Remarks | |
|---|---|---|
| J | Machine learning for plant microRNA prediction: A systematic review | |
| O | Herath, D., Counting the Uncountable: Estimating Species Diversity measures of communities of viruses, Hantana Vision Magazine, Volume 7, Issue 1 |
|
| J | Mirnafinder: A comprehensive web resource for plant mirna classfiication, BioSystems Journal | Submitted |
| C | Revealing MicroRNA Biomarkers for Alzheimer’s Disease Using Next Generation Sequencing Data | ICIAFS 2021-Special Session on Data Engineering for Biology |
2020
| Article | Remarks | |
|---|---|---|
| J | Machine learning for plant microRNA prediction: A systematic review | |
| O | Herath, D., Counting the Uncountable: Estimating Species Diversity measures of communities of viruses, Hantana Vision Magazine, Volume 7, Issue 1 |
|
| J | Mirnafinder: A comprehensive web resource for plant mirna classfiication, BioSystems Journal | Submitted |
| C | Revealing MicroRNA Biomarkers for Alzheimer’s Disease Using Next Generation Sequencing Data | ICIAFS 2021-Special Session on Data Engineering for Biology |