Author

Milica Ng

CSL (Australia)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 3 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:bulk RNA-seq· 2 Research Focus:clustering· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Monther AlhamdooshiD· 2 shared Nicholas J. WilsoniD· 2 shared Alberta Yik-Bun HoiiD· 1 shared Eleanor C. Saunders· 1 shared Eric Francis MorandiD· 1 shared Eugene MaraskovskyiD· 1 shared Fabienne MackayiD· 1 shared Huy Huynh· 1 shared

Activity by Year

2016-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersBioinformatics

Monther AlhamdooshORCID

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4 papers

Recent·Most cited

Machine learning applied to whole-blood RNA-sequencing data uncovers distinct subsets of patients with systemic lupus erythematosus

William A. Figgett, Katherine Monaghan, Milica Ng, Monther Alhamdoosh, Eugene Maraskovsky, Nicholas J. Wilson, Alberta Yik-Bun Hoi, Eric Francis Morand, Fabienne Mackay

This paper uses machine learning on whole-blood RNA-seq data to stratify SLE patients into clusters, revealing gene expression patterns linked to disease activity and clinical outcomes.

Clinical & Translational Immunology · Jan 1, 2019Peer-reviewedBioinformatics

Cluster Headache: Comparing Clustering Tools for 10X Single Cell Sequencing Data

Saskia Freytag, Luyi Tian, Ingrid M. Lönnstedt, Milica Ng, Melanie Bahlo

This paper compares clustering methods for 10X scRNA-seq data using human datasets, finding that clustering results vary widely and are influenced by ribosomal gene expression.

F1000Research · Aug 15, 2018Peer-reviewedBioinformatics

13C metabolic flux ratio analysis by direct measurement of free metabolic intermediates in L. mexicana using gas chromatography-mass spectrometry

Milica Ng, Eleanor C. Saunders, Moshe Olshansky, Malcolm J. McConville, Vladimir A. Likić

This paper introduces a new 13C-based metabolic flux analysis method for Leishmania mexicana using isotopologue analysis of free metabolites, enabling quantitative in vivo flux ratio calculations in human parasites.

bioRxiv · Sep 8, 2016 · PreprintSystems Biology

Combining multiple tools outperforms individual methods in gene set enrichment analyses

Monther Alhamdoosh, Milica Ng, Nicholas J. Wilson, Julie M. Sheridan, Huy Huynh, Michael J. Wilson, Matthew E. Ritchie

EGSEA combines twelve GSE algorithms to improve gene set enrichment results, outperforming individual methods on simulated and real data.

bioRxiv · Jul 8, 2016Bioinformatics