S. Makrodimitris

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Dive into the research topics where S. Makrodimitris is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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

An in-depth comparison of linear and non-linear joint embedding methods for bulk and single-cell multi-omics
Makrodimitris, S., Pronk, B., Abdelaal, T. & Reinders, M., 2024, In: Briefings in Bioinformatics. 25, 1, 15 p., bbad416.
Research output: Contribution to journal › Review article › peer-review

Open Access
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45 Downloads (Pure)
Benchmarking variational AutoEncoders on cancer transcriptomics data
Eltager, M., Abdelaal, T., Charrout, M., Mahfouz, A. M. E. T. A., Reinders, M. J. T. & Makrodimitris, S., 2023, In: PLoS ONE. 18 , 10, 22 p., e0292126.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
2 Citations (Scopus)

103 Downloads (Pure)
Cell type deconvolution of methylated cell-free DNA at the resolution of individual reads
Keukeleire, P., Makrodimitris, S. & Reinders, M., 2023, In: NAR Genomics and Bioinformatics. 5, 2, 12 p., lqad048.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
5 Citations (Scopus)

46 Downloads (Pure)
Machine learning-based somatic variant calling in cell-free DNA of metastatic breast cancer patients using large NGS panels
Jongbloed, E. M., Jansen, M. P. H. M., de Weerd, V., Helmijr, J. A., Beaufort, C. M., Reinders, M. J. T., van Marion, R., van IJcken, W. F. J. & Makrodimitris, S., 2023, In: Scientific Reports. 13, 1, 11 p., 10424.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
1 Citation (Scopus)

68 Downloads (Pure)
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
File
4 Citations (Scopus)

38 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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Collaborations and top research areas from the last five years

Dive into details

An in-depth comparison of linear and non-linear joint embedding methods for bulk and single-cell multi-omics

Benchmarking variational AutoEncoders on cancer transcriptomics data

Cell type deconvolution of methylated cell-free DNA at the resolution of individual reads

Machine learning-based somatic variant calling in cell-free DNA of metastatic breast cancer patients using large NGS panels

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

Protein function prediction using pre-trained ELMO embeddings

S. Makrodimitris, MSc

Fingerprint

Collaborations and top research areas from the last five years

Research output

An in-depth comparison of linear and non-linear joint embedding methods for bulk and single-cell multi-omics

Benchmarking variational AutoEncoders on cancer transcriptomics data

Cell type deconvolution of methylated cell-free DNA at the resolution of individual reads

Machine learning-based somatic variant calling in cell-free DNA of metastatic breast cancer patients using large NGS panels

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

Datasets

Protein function prediction using pre-trained ELMO embeddings