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Profil bibliographique

Burton Kuan Hui Chia

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

45Publications signalées
2390Citations signalées
1Affiliations récentes

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Les domaines associés

Lymphoma Diagnosis and TreatmentBioinformatics and Genomic NetworksImmune Cell Function and InteractionViral-associated cancers and disordersStatistical Methods in Clinical Trials

Les publications récentes

Accès ouvert 2025 preprint OpenAlex

Isoform-level discovery, quantification and fusion analysis from single-cell and spatial long-read RNA-seq data with Bambu-Clump

Andre Sim, Min Hao Ling, Ying Chen, Lu Han et autres

Abstract Single cell and spatial transcriptomics have dramatically changed how we can profile RNA from heterogenous biological samples. Combining single cell and spatial profiling with long read RNA-Seq promises to enable the discovery and quantification of individual RNA isoforms at the single-cell …

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7 citations bioRxiv (Cold Spring Harbor Laboratory)
Accès ouvert 2024 article OpenAlex

Integrative genomic analyses of European intrahepatic cholangiocarcinoma: Novel ROS1 fusion gene and PBX1 as prognostic marker

Patrick Sven Plum, Timo Hess, Denis Bertrand, Isabelle Morgenstern et autres

BACKGROUND: Cholangiocarcinoma (CCA) is a fatal cancer of the bile duct with a poor prognosis owing to limited therapeutic options. The incidence of intrahepatic CCA (iCCA) is increasing worldwide, and its molecular basis is emerging. Environmental factors may contribute to regional differences …

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6 citations Clinical and Translational Medicine
Accès ouvert 2023 other OpenAlex

Data from ConsensusDriver Improves upon Individual Algorithms for Predicting Driver Alterations in Different Cancer Types and Individual Patients

Denis Bertrand, Sibyl Drissler, Burton Kuan Hui Chia, Jia Yu Koh et autres

Abstract Existing cancer driver prediction methods are based on very different assumptions and each of them can detect only a particular subset of driver genes. Here we perform a comprehensive assessment of 18 driver prediction methods on more than 3,400 tumor samples …

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