22 results on '"Makrodimitris, Stavros"'
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2. An in-depth comparison of linear and non-linear joint embedding methods for bulk and single-cell multi-omics
3. Benchmarking variational AutoEncoders on cancer transcriptomics data
4. Machine learning-based somatic variant calling in cell-free DNA of metastatic breast cancer patients using large NGS panels
5. An in-depth comparison of linear and non-linear joint embedding methods for bulk and single-cell multi-omics
6. Machine learning-based somatic variant calling in cell-free DNA of metastatic breast cancer patients using large NGS panels
7. Benchmarking Variational AutoEncoders on cancer transcriptomics data
8. Cell type deconvolution of methylated cell-free DNA at the resolution of individual reads
9. Cell type deconvolution of methylated cell-free DNA at the resolution of individual reads
10. The power of universal contextualised protein embeddings in cross-species protein function prediction
11. The Power of Universal Contextualized Protein Embeddings in Cross-species Protein Function Prediction
12. A thorough analysis of the contribution of experimental, derived and sequence-based predicted protein-protein interactions for functional annotation of proteins
13. Dynamic clonal hematopoiesis and functional T-cell immunity in a supercentenarian
14. Automatic Gene Function Prediction in the 2020’s
15. Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular function
16. Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular function
17. Is Wikipedia succeeding in reducing gender bias? Assessing changes in gender bias in Wikipedia using word embeddings
18. A thorough analysis of the contribution of experimental, derived and sequence-based predicted protein-protein interactions for functional annotation of proteins
19. Dynamic Clonal Hematopoiesis and Functional T-cell Immunity in a Super-centenarian
20. Metric learning on expression data for gene function prediction
21. Metric Learning on Expression Data for Gene Function Prediction
22. Improving protein function prediction using protein sequence and GO-term similarities
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