S. Makrodimitris

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5 Article
1 Conference contribution
1 Comment/Letter to the editor
1 Review article
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- 1 Dissertation (TU Delft)

The Power of Universal Contextualized Protein Embeddings in Cross-species Protein Function Prediction
van den Bent, I., Makrodimitris, S. & Reinders, M., 2021, In: Evolutionary Bioinformatics. 17, 15 p.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
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2 Citations (Scopus)

11 Downloads (Pure)
What does that gene do? Gene function prediction by machine learning with applications to plants
Makrodimitris, S., 2021, 205 p.
Research output: Thesis › Dissertation (TU Delft)

Open Access
File
45 Downloads (Pure)
A thorough analysis of the contribution of experimental, derived and sequence-based predicted protein-protein interactions for functional annotation of proteins
Makrodimitris, S., Reinders, M. & van Ham, R., 2020, In: PLoS ONE. 15, 11, p. 1-18 18 p., e0242723.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
2 Citations (Scopus)

36 Downloads (Pure)
Automatic gene function prediction in the 2020’s
Makrodimitris, S., Van Ham, R. C. H. J. & Reinders, M. J. T., 2020, In: Genes. 11, 11, p. 1-18 18 p., 1264.
Research output: Contribution to journal › Review article › Scientific › peer-review

Open Access
File
15 Citations (Scopus)

26 Downloads (Pure)
Dynamic clonal hematopoiesis and functional T-cell immunity in a supercentenarian
van den Akker, E. B., Makrodimitris, S., Hulsman, M., Brugman, M. H., Nikolic, T., Bradley, T., Waisfisz, Q., Baas, F., Reinders, M. J. T., Holstege, H. & More Authors, 2020, In: Leukemia. 35 (2021), 7, p. 2125-2129 5 p.
Research output: Contribution to journal › Comment/Letter to the editor › Scientific › peer-review

Open Access
File

4 Citations (Scopus)

19 Downloads (Pure)

Protein function prediction using pre-trained ELMO embeddings
Makrodimitris, S. (Creator), TU Delft - 4TU.ResearchData, 4 Feb 2020
DOI: 10.4121/UUID:B88D84E1-7408-40D9-A8FC-D734F852DD7A
Dataset/Software: Dataset

S. Makrodimitris, MSc

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Dive into details

The Power of Universal Contextualized Protein Embeddings in Cross-species Protein Function Prediction

What does that gene do? Gene function prediction by machine learning with applications to plants

A thorough analysis of the contribution of experimental, derived and sequence-based predicted protein-protein interactions for functional annotation of proteins

Automatic gene function prediction in the 2020’s

Dynamic clonal hematopoiesis and functional T-cell immunity in a supercentenarian

Protein function prediction using pre-trained ELMO embeddings

S. Makrodimitris, MSc

Fingerprint

Network

Research output

The Power of Universal Contextualized Protein Embeddings in Cross-species Protein Function Prediction

What does that gene do? Gene function prediction by machine learning with applications to plants

A thorough analysis of the contribution of experimental, derived and sequence-based predicted protein-protein interactions for functional annotation of proteins

Automatic gene function prediction in the 2020’s

Dynamic clonal hematopoiesis and functional T-cell immunity in a supercentenarian

Datasets

Protein function prediction using pre-trained ELMO embeddings