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Feb 6, 2026 - Department of Parasitology Dataverse
Chin, Joo Yie, 2026, "Effect of IGFBP7 on vascular pathobiology of malaria", https://doi.org/10.22452/RD/NA9YBC, Universiti Malaya Research Data Repository, V1
Cytoadherence of Plasmodium-infected red blood cells (IRBCs) is a key pathogenic mechanism in severe malaria. This process includes rosetting, in which IRBCs bind to uninfected red blood cells (URBCs), and autoagglutination, where IRBCs bind to each other. Insulin-like growth fac...
Adobe PDF - 270.0 KB - MD5: 4620d000072d04cabffdbf83bb2dbcfe
This dataset was generated to investigate the roles of human serum and platelets in mediating autoagglutination of Plasmodium-IRBCs. It also examined the relationship between rosetting and autoagglutination, identified receptors involved in autoagglutination, and evaluated the ro...
Department of Parasitology Dataverse(Faculty of Medicine, Universiti Malaya)
Feb 6, 2026Faculty of Medicine Dataverse
Research projects for the Department of Parasitology
Nov 26, 2025
Mat Jalaluddin, Nurzatil; Abdullah, Nor Aishah, 2025, "Replication Data for: University Students’ Environmental Literacy and Consumption Behaviour Towards Microplastics in Kuala Lumpur, Malaysia", https://doi.org/10.22452/RD/RA1HEU, Universiti Malaya Research Data Repository, V1, UNF:6:DGXprterRl0V6uTd9GOaVg== [fileUNF]
The study adopted a cross-sectional, quantitative survey approach to assess the differences in Environmental Literacy (EL) on microplastic pollution across gender, age, and current study major among Universiti Malaya students. The data for this study were collected in July 2024 i...
Comma Separated Values - 4.8 KB - MD5: b0ed7e29befba160d895462dac43918e
Codebook for the survey data
Tabular Data - 57.4 KB - 27 Variables, 1049 Observations - UNF:6:DGXprterRl0V6uTd9GOaVg==
Survey data used in this study
Nov 12, 2025
Ahmad Fuaad, Abdullah Al-Hadi, 2025, "Related Data for Discovery of Promising Peptide-Based Inhibitor for NS2B/NS3 Protease of Dengue Virus through In Silico Screening", https://doi.org/10.22452/RD/CQRXA7, Universiti Malaya Research Data Repository, V1, UNF:6:0c/Y4hrtbk+/Evs2XL84Rg== [fileUNF]
RAW data used for the publication. These are the molecular docking extracted results of the standard control ligand and the dipeptides, arranged in Excel file format. The docking run was completed using Autodock Vina.
Tabular Data - 41.4 KB - 9 Variables, 411 Observations - UNF:6:0c/Y4hrtbk+/Evs2XL84Rg==
Extracted data from Autodock Vina
Nov 6, 2025
Abdullah, Norli Anida, 2025, "Midfacial Morphometric Dataset for Imputation Studies", https://doi.org/10.22452/RD/4YR5BX, Universiti Malaya Research Data Repository, V2, UNF:6:oGD+979oe12A8VhguCx2xg== [fileUNF]
This dataset comprises craniofacial morphometric measurements derived from computed tomography (CT) scans of 32 paediatric patients (aged 4–190 months, mean 64.03 ± 58.14 months) from the Craniofacial Clinic, University of Malaya Medical Centre. A total of 42 linear and angular m...
R Syntax - 7.8 KB - MD5: 926a8793e4f58770693ada60df5d813e
This R script performs a comprehensive evaluation of various imputation methods for handling missing data in a dataset. It begins by loading the required libraries and reading the original dataset, followed by generating missing values under the MCAR (Missing Completely at Random...
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