Author

Ngak Leng Sim

Agency for Science, Technology and ResearchORCID 0009-0005-4211-035XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Anders J. SkanderupiD· 2 shared Anna GaniD· 2 shared Hanaé CarriéiD· 2 shared Iain Beehuat TaniD· 2 shared Limsoon WongiD· 2 shared Polly S. Y. PooniD· 2 shared Pui‐Mun WongiD· 2 shared Saranya ThangarajuiD· 2 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Anders J. SkanderupORCID

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Author profile →

2 papers

Recent·Most cited

Comprehensive benchmarking of methods for mutation calling in circulating tumor DNA

Hanaé Carrié, Ngak Leng Sim, Pui‐Mun Wong, Anna Gan, Yi Ting Lau, Polly S. Y. Poon, Saranya Thangaraju, Iain Beehuat Tan, Yoon Sim Yap, Kiran Krishnamachari, Limsoon Wong, Anders J. Skanderup

The paper benchmarks 9 somatic variant calling algorithms on cfDNA samples from cancer patients, identifying optimal methods based on ctDNA levels and sequencing depth.

Nature Communications · Dec 18, 2025Peer-reviewedBioinformatics

Fragle: Universal ctDNA quantification using deep learning of fragmentomic profiles

Guanhua Zhu, Chowdhury Rafeed Rahman, Victor Getty, Denis Odinokov, Probhonjon Baruah, Hanaé Carrié, Avril Joy Lim, Yu Amanda Guo, Zhong Wee Poh, Ngak Leng Sim, Ahmed Abdelmoneim, Yutong Cai, Lakshmi Narayanan Lakshmanan, Danliang Ho, Saranya Thangaraju, , Anders J. Skanderup

Fragle quantifies ctDNA from fragment length profiles using deep learning, showing high accuracy and improved detection limits across multiple datasets and sequencing types.

bioRxiv · Jul 28, 2023 · PreprintBioinformatics