Damayanthi Herath

Damayanthi Herath
University of Peradeniya | UOP · Department of Computer Engineering

BSc. Eng (Hons.)

About

19
Publications
7,112
Reads
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48
Citations
Additional affiliations
January 2015 - June 2015
University of Peradeniya
Position
  • Lecturer

Publications

Publications (19)
Article
Full-text available
Huge amount of data in the form of strings are being handled in bio-computing applications and searching algorithms are quite frequently used in them. Many methods utilizing on both software and hardware are being proposed to accelerate processing of such data. The typical hardware-based acceleration techniques either require special hardware such...
Article
Full-text available
Assessing biodiversity is an important step in the study of microbial ecology associated with a given environment. Multiple indices have been used to quantify species diversity, which is a key biodiversity measure. Measuring species diversity of viruses in different environments remains a challenge relative to measuring the diversity of other micro...
Article
Full-text available
This paper presents the development of a wind power forecasting model based on Gene Expression Programming (GEP) for one of the major wind farms in Sri Lanka; Pawan Danavi. With the ever-increasing demand for renewable power generation, Sri Lanka has started harnessing electricity from wind power. Though the initial establishment cost of wind farms...
Article
microRNAs (miRNAs) are known as one of the small non-coding RNA molecules that control the expression of genes at the RNA level, while some operate at the DNA level. They typically range from 20 to 24 nucleotides in length and can be found in the plant and animal kingdoms as well as in some viruses. Computational approaches have overcome the limita...
Conference Paper
Students’ performance prediction can have many uses in the education sector. It helps to take measures to support struggling students and to improve course delivery. However, having meaningful explanations along each prediction is essential for the reliability of the predictions and hence is desirable. In this work, we propose a method for predicti...
Preprint
Full-text available
microRNAs (miRNAs) are known as one of the small non-coding RNA molecules, which control the expressions of genes at the RNA level. They typically range 20-24 nucleotides in length and can be found in the plant and animal kingdoms and in some viruses. Computational approaches have overcome the limitations in the experimental methods and have perfor...
Preprint
MicroRNAs (miRNAs) are endogenous small non-coding RNAs that play an important role in post-transcriptional gene regulation. However, the experimental determination of miRNA sequence and structure is both expensive and time-consuming. Therefore, computational and machine learning-based approaches have been adopted to predict novel microRNAs. With t...
Conference Paper
MicroRNAs (miRNAs) are endogenous small noncoding RNAs that play an important role in post-transcriptional gene regulation. Several machine learning-based studies have been conducted for miRNA identification with the use of miRNA features. It is difficult to classify real and pseudo-pre-miRNAs in plant species than that in animals since plant pre-m...
Conference Paper
MicroRNAs (miRNAs) are endogenous small non-coding RNAs that play an important role in post-transcriptional gene regulation. Several machine learning-based studies have been conducted for miRNA identification with the use of miRNA features. It is difficult to classify real and pseudo-pre-miRNAs in plant species than that in animals since plant pre-...
Conference Paper
Full-text available
Chronic Kidney Disease (CKD) or chronic renal disease has become a major issue with a steady growth rate. A person can only survive without kidneys for an average time of 18 days, which makes a huge demand for a kidney transplant and Dialysis. It is important to have effective methods for early prediction of CKD. Machine learning methods are effect...
Article
Full-text available
Background: Estimating the parameters that describe the ecology of viruses,particularly those that are novel, can be made possible using metagenomic approaches. However, the best-performing existing methods require databases to first estimate an average genome length of a viral community before being able to estimate other parameters, such as vira...
Article
Full-text available
Background: In metagenomics, the separation of nucleotide sequences belonging to an individual or closely matched populations is termed binning. Binning helps the evaluation of underlying microbial population structure as well as the recovery of individual genomes from a sample of uncultivable microbial organisms. Both supervised and unsupervised...

Questions

Questions (3)
Question
I am interested to know whether we have tools providing the number of research articles published on a given subject and related statistics?
Question
I am interested to know whether we have an analogy to explain gene expression.
Question
Certain media exists for researchers to publish their work as articles in pre-print form, allowing their manuscripts to be available before being peer-reviewed.
What benefits are anticipated through this process?

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