Code used for processing proteomics data associated with the publication by Yan et al., submitted to Nature Communications in 2024
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Updated
Apr 11, 2024 - Python
Code used for processing proteomics data associated with the publication by Yan et al., submitted to Nature Communications in 2024
A dashboard for the MetOncoFit tumor models.
Windows tools to automate conversion of documents written in markdown to a latex-rendered PDF
Ultrasound Brain Tomography: Comparison of Deep Learning and Deterministic Methods
Methods for displaying and calibration of Cox proportional hazards models
This repository contains the script used for the following publication: Iskandar, M. N. S., Loh, R. B. C., Ho, M. Y. M., Pan, J. W. & Kong, P. W. (2023). Crossover Gait in Running and Measuring Foot Inversion Angle at Initial Foot Strike: A Front-View Video Analysis Approach. Frontiers in Bioengineering and Biotechnology. 11, 1210049
Repo for meta-analysis of machine learning models on mammography
📝 A Gaussian-process-model-based approach for robust, independent, and implementation-agnostic validation of complex multi-variable measurement systems: application to SAR measurement systems
This repository contains the scripts used for the following publication: Kong, P. W., Iskandar, M. N. S., Koh, A. H., Ho, M. Y. M., & Lim, C. X. E. (2023). Validation of In-Shoe Force Sensors During Loaded Walking In Military Personnel. Sensors. 23(14), 6465.
Analysis scripts for fabV & triclosan tolerance association paper
Contains public resources (code/data) linked to publications
Analysis of neutrophil metabolic activity during metastasis using single-cell RNASeq and COnstraint-Based Reconstruction and Analysis.
This project represents the implementation of the Spatio-Temporal Image Encoding used in the paper "Human Activity Recognition: A Spatio-temporal Image Encoding of 3D Skeleton Data for Online Action Detection" published in the "International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications(VISAPP) 2022".
This project represents the implementation of the Enhanced Spatio-Temporal Image Encoding used in the paper "Enhanced Spatio- Temporal Image Encoding for Online Human Activity Recognition" published in the "International Conference on Machine Learning and Applications (ICMLA) 2023".
Project on analyzing EEG data and modelling spectral content from asynchronous neural activity. Includes code for generating figures used in production of manuscript.
Anlysis of small RNAs in Arabidopsis SWR1 mutant (published in Choi et al. 2016, Plant Physiology, http://www.plantphysiol.org/content/171/2/1128)
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