Phaik-Leng Cheah on Muck Rack

Phaik-Leng Cheah

As seen in: MDPI
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Articles

Deep-Learning-Based Approach in Cancer-Region Assessment from HER2-SISH Breast Histopathology Whole Slide Images

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By Zaka Ur Rehman, Fazly Salleh Abas, Phaik-Leng Cheah, Seow-Fan Chiew
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Applied Sciences | Free Full-Text | Differential Expression Analysis of Blood MicroRNA in Identifying Potential Genes Relevant to Alzheimer’s Disease Pathogenesis, Using an Integrated Bioinformatics and Machine Learning Approach

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By Mei Tan, Phaik-Leng Cheah, Ai-Vyrn Chin, Lai-Meng Looi
| MDPI
Abstract : Alzheimer’s disease (AD) is a neurodegenerative disease characterized by cognitive and functional impairment. Recent research has focused on the deregulation of microRNAs (miRNAs) in blood as the potential biomarkers for AD. As such, a differential expression analysis of miRNAs was conducted in this study using an integrated framework that utilized the advantages of statistical and machine learning approaches.
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Correction: Assessment of Telomere Length in Archived Formalin-Fixed, Paraffinized Human Tissue Is Confounded by Chronological Age and Storage Duration

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By Po-Lian Kong, Lai-Meng Looi, Tze-Pheng Lau, Phaik-Leng Cheah
| PLOS
This article was republished on September 27, 2016, due to the release of confidential or copyrighted material. Please download this article again to view the correct version. Citation: Kong P-L, Looi L-M, Lau T-P, Cheah P-L (2016) Correction: Assessment of Telomere Length in Archived Formalin-Fixed, Paraffinized Human Tissue Is Confounded by Chronological Age and Storage Duration. PLoS ONE 11(12): e0168238. doi:10.1371/journal.pone.0168238 Copyright: © 2016 Kong et al.
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