Author

Wikus Bergh

ORCID 0000-0001-8656-1690Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Organism:human· 2 Assay:proteomics· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Martine van den Heever· 2 shared Nina TruteriD· 2 shared Raminderpal Singh· 2 shared Shade HorniD· 2 shared Ben LoosiD· 1 shared Carla LouwiD· 1 shared Dan Leggate· 1 shared Dawie van Niekerk· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Martine van den Heever

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 15, 2024

Signaling pathway evaluation of leading ATRi, PARPi and CDK7i cancer compounds targeting the DNA Damage Response using Causal Inference

Nina Truter, Wikus Bergh, Martine van den Heever…·Raminderpal Singh

This paper uses causal inference to evaluate resistance mechanisms of DDR inhibitors in cancer, identifying pathway-specific resistance drivers and potential combination therapies.

DOI 10.1101/2024.02.15.580418

humanbulk RNA-seq

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BioinformaticsbioRxivPreprintMar 16, 2023

ALaSCA: A novel in silico simulation platform to untangle biological pathway mechanisms, with a case study in Type 1 Diabetes progression

Carla Louw, Nina Truter, Wikus Bergh…·Raminderpal Singh

This paper introduces ALaSCA, a causal analysis platform, and applies it to study antioxidant protein effects on Type 1 Diabetes progression using proteomic data.

1 citation

humanproteomics

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