Author

Yibing Yan

Genentech

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

Biology Disciplines

Click to filter author papers

Bioinformatics· 2 Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Organism:human· 2 Research Focus:gene regulatory network inference· 1 Assay:perturbation screen· 1

Frequent Co-Authors

Matthew J. WongchenkoiD· 3 shared Georgina Venetia LongiD· 2 shared James S. WilmottiD· 2 shared Richard A. ScolyeriD· 2 shared Alexander Maxwell MenziesiD· 1 shared Alvis BrāzmaiD· 1 shared Christine ParkinsoniD· 1 shared David J. AdamsiD· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioinformatics

Matthew J. WongchenkoORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Tumour gene expression signature in primary melanoma predicts long-term outcomes: A prospective multicentre study

Manik Garg, Dominique‐Laurent Couturier, Jérémie Nsengimana, Nuno A. Fonseca, Matthew J. Wongchenko, Yibing Yan, Martin Lauss, Goran B Jönsson, Julia Newton‐Bishop, Christine Parkinson, Mark Ross Middleton, David Timothy Bishop, Sarah McDonald, Nikki Stefanos, John A. Tadross, , Roy Rabbie

This paper develops a gene expression signature, Cam_121, to predict long-term outcomes in primary melanoma patients, showing improved accuracy compared to clinical and existing prognostic models.

Nature Communications · Feb 18, 2021Peer-reviewedBioinformatics

Robust network inference using response logic

Torsten Groß, Matthew J. Wongchenko, Yibing Yan, Nils Blüthgen

This paper introduces a network inference method based on response logic that outperforms existing approaches in benchmark challenges and generates plausible network hypotheses from perturbation data.

Bioinformatics · May 9, 2019Peer-reviewedSystems Biology

bcGST - an interactive bias-correction method to identify over-represented gene-sets in boutique arrays

Kevin Y. X. Wang, Alexander Maxwell Menzies, Inês Pires da Silva, James S. Wilmott, Yibing Yan, Matthew J. Wongchenko, Richard F. Kefford, Richard A. Scolyer, Georgina Venetia Long, Garth Tarr, Samuel Mueller, Jean Yee Hwa Yang

bcGST corrects bias in gene set tests for boutique arrays by adjusting Fisher's Exact Test to account for incomplete genome coverage.

Bioinformatics · Sep 11, 2018Peer-reviewedBioinformatics