Sandra Ng
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View article: Transcriptomic profiling and machine learning uncover gene signatures of psoriasis endotypes and disease severity
Transcriptomic profiling and machine learning uncover gene signatures of psoriasis endotypes and disease severity Open
Background Despite increased understanding of psoriasis pathogenesis, molecular classification of clinical phenotypes and disease severity is poorly defined. Knowledge gaps include whether molecular endotypes of psoriasis underlie distinct…
View article: Development and implementation of ‘A guide to PPIE – Early Integration into Research Proposals’ in a multi-disciplinary consortium
Development and implementation of ‘A guide to PPIE – Early Integration into Research Proposals’ in a multi-disciplinary consortium Open
The importance of Patient and Public Involvement and Engagement (PPIE) in the early phases of research design is significant and increasingly recognised throughout the research community. Here we describe the approach taken within the CLUS…
View article: CLUSTER Data Catalogue
CLUSTER Data Catalogue Open
This data catalogue describes the key metadata for all the CLUSTER datasets. For all datasets, the number of patients, treatment and timepoints available are described, In addition, for GWAS and omics datasets, tissue type, cell population…
View article: CLUSTER Data Catalogue
CLUSTER Data Catalogue Open
This data catalogue describes the key metadata for all the CLUSTER datasets. For all datasets, the number of patients, treatment and timepoints available are described, In addition, for GWAS and omics datasets, tissue type, cell population…
View article: The benefits and pitfalls of machine learning for biomarker discovery
The benefits and pitfalls of machine learning for biomarker discovery Open
Prospects for the discovery of robust and reproducible biomarkers have improved considerably with the development of sensitive omics platforms that can enable measurement of biological molecules at an unprecedented scale. With technical ba…
View article: CLUSTER MTX Clinical Dataset
CLUSTER MTX Clinical Dataset Open
This data dictionary describes the CLUSTER MTX clinical dataset. It contains key variables of interest for measuring treatment response to methotrexate (MTX) in juvenile idiopathic arthritis (JIA) patients at baseline/timepoint 1 (start of…
View article: CLUSTER anti-TNF clinical dataset
CLUSTER anti-TNF clinical dataset Open
This data dictionary describes the CLUSTER anti-TNF clinical dataset. It contains key variables of interest for measuring treatment response to tumour necrosis factor inhibitors (anti-TNF) in juvenile idiopathic arthritis (JIA) patients at…
View article: CLUSTER anti-TNF clinical dataset
CLUSTER anti-TNF clinical dataset Open
This data dictionary describes the CLUSTER anti-TNF clinical dataset. It contains key variables of interest for measuring treatment response to tumour necrosis factor inhibitors (anti-TNF) in juvenile idiopathic arthritis (JIA) patients at…
View article: CLUSTER MTX Clinical Dataset
CLUSTER MTX Clinical Dataset Open
This data dictionary describes the CLUSTER MTX clinical dataset. It contains key variables of interest for measuring treatment response to methotrexate (MTX) in juvenile idiopathic arthritis (JIA) patients at baseline/timepoint 1 (start of…
View article: OA31 Successes and challenges in harmonising 4 national Juvenile Idiopathic Arthritis cohorts: an example from CLUSTER consortium
OA31 Successes and challenges in harmonising 4 national Juvenile Idiopathic Arthritis cohorts: an example from CLUSTER consortium Open
Introduction/Background The CLUSTER consortium aims to identify biomarkers and strata that improve personalised treatments for JIA/JIA-uveitis. By bringing together knowledge and data, CLUSTER can conduct novel analyses in this rare, heter…
View article: Diffusion enables integration of heterogeneous data and user-driven learning in a desktop knowledge-base
Diffusion enables integration of heterogeneous data and user-driven learning in a desktop knowledge-base Open
Integrating reference datasets (e.g. from high-throughput experiments) with unstructured and manually-assembled information (e.g. notes or comments from individual researchers) has the potential to tailor bioinformatic analyses to specific…