Author

Halima Alachram

Universitätsmedizin GöttingenORCID 0000-0002-4567-0775Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Edgar WingenderiD· 2 shared Tim BeißbarthiD· 2 shared Andrey RzhetskyiD· 1 shared Aram GalstyaniD· 1 shared Arne ZibatiD· 1 shared Axel MunkiD· 1 shared Bernd WollnikiD· 1 shared Bohdan B. KhomtchoukiD· 1 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Edgar WingenderORCID

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Author profile →

3 papers

Recent·Most cited

Distinct mitochondrial DNA single-nucleotide variant signatures in TOP3A-deficient cardiomyocytes

Marianne Gaubert, Halima Alachram, Ipek Ilgin Gönenç, Iñigo Domínguez, Carolin Argyriou, Julia Schmidt, Silke Kaulfuß, Mario Pávez, Constantin Tilman Schott, Axel Munk, Arne Zibat, Lukas Cyganek, Gökhan Yigit, Bernd Wollnik

This study identifies unique mtDNA mutation patterns in TOP3A-deficient cardiomyocytes, linking mtDNA instability to mitochondrial dysfunction in cardiac disease.

bioRxiv · Aug 22, 2026 · PreprintGenetics

Text mining-based word representations for biomedical data analysis and machine learning tasks

Halima Alachram, Hryhorii Chereda, Tim Beißbarth, Edgar Wingender, Philip Stegmaier

The paper develops word2vec-based embeddings from PubMed abstracts to capture biological relationships and improves metastatic event prediction using graph convolutional networks.

bioRxiv · Dec 9, 2020 · PreprintBioinformatics

NERO: A Biomedical Named-entity (Recognition) Ontology with a Large, Annotated Corpus Reveals Meaningful Associations Through Text Embedding

Kanix Wang, Robert Stevens, Halima Alachram, Yu Li, Larisa Soldatova, Ross D. King, Sophia Ananiadou, Maolin Li, Fenia Christopoulou, José Luis Ambite, Sahil Garg, Ulf Hermjakob, Daniel Marcu, Emily Sheng, Tim Beißbarth, , Andrey Rzhetsky

This paper introduces NERO, a biomedical named-entity ontology with an annotated corpus, and demonstrates its utility through text embedding for discovering associations.

bioRxiv · Nov 5, 2020 · PreprintSystems Biology