Author

Tiha Nikolova

Technical University of Munich

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Bioinformatics· 1

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Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Benjamin Kröger· 1 shared Burkhard RostiD· 1 shared Céline MarquetiD· 1 shared Christian DallagoiD· 1 shared Konstantin SchützeiD· 1 shared Maria LittmanniD· 1 shared Martin SteineggeriD· 1 shared Michael BernhoferiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Benjamin Kröger

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1 paper

Recent·Most cited

LambdaPP: Fast and accessible protein-specific phenotype predictions

Tobias Olenyi, Céline Marquet, Michael Heinzinger, Benjamin Kröger, Tiha Nikolova, Michael Bernhofer, Philip Sändig, Konstantin Schütze, Maria Littmann, Milot Mirdita, Martin Steinegger, Christian Dallago, Burkhard Rost

LambdaPP provides fast, accessible protein feature predictions including structure and function, using AI models and embeddings from protein Language Models.

Protein Science · Dec 1, 2022Peer-reviewedBioinformatics