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Publications

Machine learning and clinician predictions of antibiotic resistance in Enterobacterales bloodstream infections.

Yuan K. et al, (2024), The Journal of infection, 90

Predicting individual patient and hospital-level discharge using machine learning.

Wei J. et al, (2024), Communications medicine, 4

Distinct patterns of vital sign and inflammatory marker responses in adults with suspected bloodstream infection.

Gu Q. et al, (2024), The Journal of infection, 88

Changes in the investigation and management of suspected myocardial infarction and injury during COVID-19: a multi-centre study using routinely collected healthcare data.

Chammas L. et al, (2024), Frontiers in cardiovascular medicine, 11

Leveraging transformers and large language models with antimicrobial prescribing data to predict sources of infection for electronic health record studies

Yuan K. et al, (2024)

Transformers and large language models are efficient feature extractors for electronic health record studies

Yuan K. et al, (2024)

Defining normal inflammatory marker and vital sign responses to suspected bloodstream infection in adults with positive and negative blood cultures

Gu Q. et al, (2023)

TF-Prioritizer: a Java pipeline to prioritize condition-specific transcription factors

Hoffmann M. et al, (2023), TF-Prioritizer: a Java pipeline to prioritize condition-specific transcription factors

TF-Prioritizer: a Java pipeline to prioritize condition-specific transcription factors.

Hoffmann M. et al, (2022), GigaScience, 12

TF-Prioritizer: a java pipeline to prioritize condition-specific transcription factors

Hoffmann M. et al, (2022)

BiCoN: network-constrained biclustering of patients and omics data.

Lazareva O. et al, (2021), Bioinformatics (Oxford, England), 37, 2398 - 2404

DIGGER: exploring the functional role of alternative splicing in protein interactions.

Louadi Z. et al, (2021), Nucleic acids research, 49, D309 - D318

Exploring the SARS-CoV-2 virus-host-drug interactome for drug repurposing.

Sadegh S. et al, (2020), Nature communications, 11