Weng Howe Chan

TL;DR: Three different epidemic forecasting models was used to generate forecasts of COVID-19 cases in Malaysia using daily reported cumulative case data up until 1st April 2020 from the Malaysia Ministry of Health, suggesting the epidemic may peak between middle of April to end of May 2020.

TL;DR: This paper proposes an improved penalized support vector machine with absolute t-test weighting scheme to identify informative genes and pathways and shows consistent improvement over the previous methods.

TL;DR: In this article, the impacts of population density on the spread and severity of COVID-19 in Malaysia were investigated using a parametric approach of the Pearson correlation, and it was found that population density has a moderately strong relationship to cumulative COVID19 cases and a weak relationship to infection rates.

TL;DR: Several classification software applications for gene expression data can be categorized into six supervised classification methods: Support Vector Machine, K-Nearest Neighbour, Neural Network, Linear Discriminant Analysis, Bayesian Classifier, and Random Forest.

TL;DR: Attempts to find the optimal butanol production route in E. coli as well as several optimization algorithms currently available for finding optimal solution to enhance biochemical production in designated target microbe are discussed.