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Stavros Makrodimitris

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NAR Genomics and Bioinformatics|June 5, 2023
Cell type deconvolution of methylated cell-free DNA at the resolution of individual readsPia Keukeleire, Stavros Makrodimitris, Marcel Reinders
Plos One|November 25, 2020
A thorough analysis of the contribution of experimental, derived and sequence-based predicted protein-protein interactions for functional annotation of proteinsStavros Makrodimitris, Marcel Reinders, Roeland van Ham
Evolutionary Bioinformatics Online|December 9, 2021
The Power of Universal Contextualized Protein Embeddings in Cross-species Protein Function PredictionIrene van den Bent, Stavros Makrodimitris, Marcel Reinders
Briefings in Bioinformatics|November 29, 2023
An in-depth comparison of linear and non-linear joint embedding methods for bulk and single-cell multi-omicsStavros Makrodimitris, Bram Pronk, Tamim Abdelaal, et al.
Bioinformatics (Oxford, England)|September 29, 2019
Metric learning on expression data for gene function predictionStavros Makrodimitris, Marcel J T Reinders, Roeland C H J van Ham
Genes|October 30, 2020
Automatic Gene Function Prediction in the 2020'sStavros Makrodimitris, Roeland C H J van Ham, Marcel J T Reinders
Bioinformatics (Oxford, England)|September 1, 2018
Improving protein function prediction using protein sequence and GO-term similaritiesStavros Makrodimitris, Roeland C H J van Ham, Marcel J T Reinders
Plos One|October 5, 2023
Benchmarking variational AutoEncoders on cancer transcriptomics dataMostafa Eltager, Tamim Abdelaal, Mohammed Charrout, et al.
IEEE Journal of Biomedical and Health Informatics|June 22, 2014
A novel computerized tool to stratify risk in carotid atherosclerosis using kinematic features of the arterial wallAimilia Gastounioti, Stavros Makrodimitris, Spyretta Golemati, et al.
Bioinformatics (Oxford, England)|August 16, 2020
Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular functionAmelia Villegas-Morcillo, Stavros Makrodimitris, Roeland C H J van Ham, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
NAR Genomics and Bioinformatics|June 5, 2023
Cell type deconvolution of methylated cell-free DNA at the resolution of individual readsPia Keukeleire, Stavros Makrodimitris, Marcel Reinders
Plos One|November 25, 2020
A thorough analysis of the contribution of experimental, derived and sequence-based predicted protein-protein interactions for functional annotation of proteinsStavros Makrodimitris, Marcel Reinders, Roeland van Ham
Evolutionary Bioinformatics Online|December 9, 2021
The Power of Universal Contextualized Protein Embeddings in Cross-species Protein Function PredictionIrene van den Bent, Stavros Makrodimitris, Marcel Reinders
Briefings in Bioinformatics|November 29, 2023
An in-depth comparison of linear and non-linear joint embedding methods for bulk and single-cell multi-omicsStavros Makrodimitris, Bram Pronk, Tamim Abdelaal, et al.
Bioinformatics (Oxford, England)|September 29, 2019
Metric learning on expression data for gene function predictionStavros Makrodimitris, Marcel J T Reinders, Roeland C H J van Ham
Genes|October 30, 2020
Automatic Gene Function Prediction in the 2020'sStavros Makrodimitris, Roeland C H J van Ham, Marcel J T Reinders
Bioinformatics (Oxford, England)|September 1, 2018
Improving protein function prediction using protein sequence and GO-term similaritiesStavros Makrodimitris, Roeland C H J van Ham, Marcel J T Reinders
Plos One|October 5, 2023
Benchmarking variational AutoEncoders on cancer transcriptomics dataMostafa Eltager, Tamim Abdelaal, Mohammed Charrout, et al.
IEEE Journal of Biomedical and Health Informatics|June 22, 2014
A novel computerized tool to stratify risk in carotid atherosclerosis using kinematic features of the arterial wallAimilia Gastounioti, Stavros Makrodimitris, Spyretta Golemati, et al.
Bioinformatics (Oxford, England)|August 16, 2020
Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular functionAmelia Villegas-Morcillo, Stavros Makrodimitris, Roeland C H J van Ham, et al.
Pageof 2