Highlights
A manifold fitting approach for single-cell RNA sequencing data analysis
September 06, 2024Researchers at the National University of Singapore (NUS) have developed a technique that accurately characterises single-cell RNA sequencing (scRNA-seq) data…
Read MoreDeep learning for real-time molecular imaging
February 08, 2024National University of Singapore (NUS) researchers have demonstrated that deep learning allows them to observe the dynamics of single molecules…
Read MoreA manifold fitting approach for high-dimensional data reduction beyond Euclidean space
January 29, 2024National University of Singapore (NUS) statisticians have introduced a new technique that accurately describes high-dimensional data using lower-dimensional smooth structures….
Read MoreAdaptive two-sample test for high-dimensional data
September 03, 2020NUS statisticians have developed a simple and adaptive test for comparing two groups of high-dimensional data. Testing the equality of…
Read MorePositive connection between nature experiences and happiness
March 10, 2020NUS researchers have discovered a positive connection between nature experiences and our fond memories which may contribute towards life satisfaction….
Read MoreEnhanced prediction for asset returns
September 25, 2019NUS data scientists have developed an improved version of the Fama–French three factor model to provide better estimations of the…
Read MoreSentiment analysis for portfolio management
April 01, 2019NUS data scientists have developed a deep learning-based text data analytics method to extract sentiment information from analyst reports for…
Read MoreUnlocking the power of web text data
December 06, 20176 Dec 2017. NUS statisticians have developed the Regularised Text Logistic (RTL) regression model to extract informative word features from digital…
Read MoreStatistical hypothesis testing for high-dimensional data
October 02, 20172 Oct 2017. NUS statisticians have developed an efficient method for comparing multi-group high-dimensional data. MANOVA (multivariate analysis of variance) is…
Read MoreA more efficient method for quantifying uncertainty
September 26, 201726 Sep 2017. NUS statistician has proposed a new Monte Carlo method that is computationally more effective for quantifying uncertainty. Uncertainty…
Read MoreA practical optimisation algorithm for big data applications
September 21, 201721 Sep 2017. NUS mathematicians have proposed improvements to a well-known optimisation algorithm to significantly boost its computational efficiency. Numerous…
Read MorePaying for “extras” in freemium products and services
August 14, 201714 Aug 2017. NUS statisticians have developed a better methodology to study user behaviour for freemium products and services. Freemium…
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