Author

Zsófia M. Sztupinszki

Boston Children's HospitalORCID 0000-0002-8691-4086Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:differential expression· 2 Organism:human· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1

Frequent Co-Authors

István CsabaiiD· 3 shared Zoltán SzállásiiD· 3 shared Miklós DióssyiD· 2 shared Oz KilimiD· 2 shared Alex OlariD· 1 shared Anders Gorm PederseniD· 1 shared András Biricz· 1 shared Aron C. EklundiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 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

István CsabaiORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Zero-shot biological reasoning with open-weights large language models reproduces CRISPR screen based prediction of synthetic lethal interactions.

Aurél György Prósz, Zsófia M. Sztupinszki, Miklós Dióssy, Oz Kilim, Bogumil Zimon, István Csabai, Zoltán Szállási

This paper uses open-weight large language models to predict synthetic lethal interactions, outperforming random chance and non-LLM methods in reproducing CRISPR screen results.

bioRxiv · May 11, 2026 · PreprintBioinformatics

Histopathology and proteomics are synergistic for High-Grade Serous Ovarian Cancer platinum response prediction

Oz Kilim, Alex Olar, András Biricz, Lilla Madaras, Péter Pollner, Zoltán Szállási, Zsófia M. Sztupinszki, István Csabai

This study combines histopathology and proteomics with a multimodal deep learning framework to improve platinum response prediction in HGSOC, outperforming HRD scores.

npj Precision Oncology · Jan 25, 2025Peer-reviewedGenetic & Genomic Medicine

Strand Orientation Bias Detector (SOBDetector) to remove FFPE sequencing artifacts

Miklós Dióssy, Zsófia M. Sztupinszki, Marcin Krzystanek, Judit Borcsok, Aron C. Eklund, István Csabai, Anders Gorm Pedersen, Zoltán Szállási

SOBDetector removes FFPE sequencing artifacts by using a Bayesian logistic regression model trained on TCGA whole exomes, achieving high accuracy and AUC.

bioRxiv · Nov 28, 2019 · PreprintBioinformatics