Author

Pauline Hiort

Hasso Plattner InstituteORCID 0000-0002-3530-7358Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 3 Assay:bulk RNA-seq· 2 Organism:human· 2 Approach:machine learning (classical)· 2 Assay:metabolomics· 2 Assay:proteomics· 2 Approach:statistical model· 2 Assay:CUT&Tag· 1

Frequent Co-Authors

Katharina BaumiD· 3 shared Bernhard Y. RenardiD· 2 shared Astrid WeißiD· 1 shared Francisco J AzuajeiD· 1 shared Harm Jan BogaardiD· 1 shared Jagath Chandana RajapakseiD· 1 shared Janina Krentz· 1 shared Julian HugoiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersBioinformatics

Katharina BaumORCID

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Author profile →

3 papers

Recent·Most cited

Differential multi-omics analysis of pulmonary arterial hypertension microvascular endothelial cells for differential drug response

Pauline Hiort, Astrid Weiß, Janina Krentz, RALPH THEO SCHERMULY, Harm Jan Bogaard, Tim Conrad, Robert Szulcek, Katharina Baum

The paper uses a multi-omics framework to analyze PAH endothelial cells and identifies kinase-related alterations and potential drug targets.

bioRxiv · Jul 16, 2026 · PreprintBioinformatics

CombDNF: Disease-specific drug combination predictions with network-based features on clinically validated data

Pauline Hiort, Bernhard Y. Renard, Katharina Baum

CombDNF predicts disease-specific drug combinations using network-based features and clinically validated data, outperforming existing methods by 84% in AUPR across four diseases.

IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) · Aug 20, 2025Peer-reviewedBioinformatics

DrDimont: Explainable drug response predictionfrom differential analysis of multi-omics networks

Pauline Hiort, Julian Hugo, Justus Zeinert, Nataniel Müller, Spoorthi Kashyap, Jagath Chandana Rajapakse, Francisco J Azuaje, Bernhard Y. Renard, Katharina Baum

DrDimont predicts differential drug response by integrating multi-omics networks and provides explainable results, outperforming methods based on differential protein expression or PageRank in breast cancer data.

Bioinformatics · Aug 24, 2022Peer-reviewedBioinformatics