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BMC Bioinformatics
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June 30, 2023
Comparing methods for drug-gene interaction prediction on the biomedical literature knowledge graph: performance versus explainability
Fotis Aisopos, Georgios Paliouras
Journal of Chemical Information and Modeling
|
November 18, 2024
RankMHC: Learning to Rank Class-I Peptide-MHC Structural Models
Romanos Fasoulis, Georgios Paliouras, Lydia E Kavraki
Emerging Topics in Life Sciences
|
October 19, 2021
Graph representation learning for structural proteomics
Romanos Fasoulis, Georgios Paliouras, Lydia E Kavraki
Nucleic Acids Research
|
March 29, 2022
CRISPR-Cas9 gRNA efficiency prediction: an overview of predictive tools and the role of deep learning
Vasileios Konstantakos, Anastasios Nentidis, Anastasia Krithara, et al.
Scientific Data
|
March 27, 2023
BioASQ-QA: A manually curated corpus for Biomedical Question Answering
Anastasia Krithara, Anastasios Nentidis, Konstantinos Bougiatiotis, et al.
Nucleic Acids Research
|
June 7, 2022
CRISPRedict: a CRISPR-Cas9 web tool for interpretable efficiency predictions
Vasileios Konstantakos, Anastasios Nentidis, Anastasia Krithara, et al.
Frontiers in Research Metrics and Analytics
|
October 16, 2023
The road from manual to automatic semantic indexing of biomedical literature: a 10 years journey
Anastasia Krithara, James G Mork, Anastasios Nentidis, et al.
Scientific Data
|
August 13, 2024
ENTRANT: A Large Financial Dataset for Table Understanding
Elias Zavitsanos, Dimitris Mavroeidis, Eirini Spyropoulou, et al.
Journal of Biomedical Informatics
|
September 15, 2023
Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature
Anastasios Nentidis, Thomas Chatzopoulos, Anastasia Krithara, et al.
BMC Medical Informatics and Decision Making
|
October 17, 2022
Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records
Akhilesh Vyas, Fotis Aisopos, Maria-Esther Vidal, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 18) with videos related to
Sort By:
Page
of 2
BMC Bioinformatics
|
June 30, 2023
Comparing methods for drug-gene interaction prediction on the biomedical literature knowledge graph: performance versus explainability
Fotis Aisopos, Georgios Paliouras
Journal of Chemical Information and Modeling
|
November 18, 2024
RankMHC: Learning to Rank Class-I Peptide-MHC Structural Models
Romanos Fasoulis, Georgios Paliouras, Lydia E Kavraki
Emerging Topics in Life Sciences
|
October 19, 2021
Graph representation learning for structural proteomics
Romanos Fasoulis, Georgios Paliouras, Lydia E Kavraki
Nucleic Acids Research
|
March 29, 2022
CRISPR-Cas9 gRNA efficiency prediction: an overview of predictive tools and the role of deep learning
Vasileios Konstantakos, Anastasios Nentidis, Anastasia Krithara, et al.
Scientific Data
|
March 27, 2023
BioASQ-QA: A manually curated corpus for Biomedical Question Answering
Anastasia Krithara, Anastasios Nentidis, Konstantinos Bougiatiotis, et al.
Nucleic Acids Research
|
June 7, 2022
CRISPRedict: a CRISPR-Cas9 web tool for interpretable efficiency predictions
Vasileios Konstantakos, Anastasios Nentidis, Anastasia Krithara, et al.
Frontiers in Research Metrics and Analytics
|
October 16, 2023
The road from manual to automatic semantic indexing of biomedical literature: a 10 years journey
Anastasia Krithara, James G Mork, Anastasios Nentidis, et al.
Scientific Data
|
August 13, 2024
ENTRANT: A Large Financial Dataset for Table Understanding
Elias Zavitsanos, Dimitris Mavroeidis, Eirini Spyropoulou, et al.
Journal of Biomedical Informatics
|
September 15, 2023
Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature
Anastasios Nentidis, Thomas Chatzopoulos, Anastasia Krithara, et al.
BMC Medical Informatics and Decision Making
|
October 17, 2022
Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records
Akhilesh Vyas, Fotis Aisopos, Maria-Esther Vidal, et al.
Page
of 2