Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Samuele Garda"'
Publikováno v:
Database : the journal of biological databases and curation. 2022
The identification of chemical–protein interactions described in the literature is an important task with applications in drug design, precision medicine and biotechnology. Manual extraction of such relationships from the biomedical literature is c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9af65fc6986f644309619f6a9a54e37
https://pubmed.ncbi.nlm.nih.gov/36399413
https://pubmed.ncbi.nlm.nih.gov/36399413
Publikováno v:
Medizinische Genetik. 33:167-177
High-throughput technologies have led to a continuously growing amount of information about regulatory features in the genome. A wealth of data generated by large international research consortia is available from online databases. Disease-driven stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ae3a10ae6b1c6484b5d4f90e39c2e99
https://doi.org/10.1515/medgen-2021-2075
https://doi.org/10.1515/medgen-2021-2075
Autor:
Stefan Peidli, Tessa D. Green, Ciyue Shen, Torsten Gross, Joseph Min, Samuele Garda, Bo Yuan, Linus J. Schumacher, Jake P. Taylor-King, Debora S. Marks, Augustin Luna, Nils Blüthgen, Chris Sander
Recent biotechnological advances led to growing numbers of single-cell perturbation studies, which reveal molecular and phenotypic responses to large numbers of perturbations. However, analysis across diverse datasets is typically hampered by differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::839e72227ca5286532cf6df09ff7ce81
https://doi.org/10.1101/2022.08.20.504663
https://doi.org/10.1101/2022.08.20.504663
Autor:
Samuele Garda, Freyda Lenihan-Geels, Sebastian Proft, Stefanie Hochmuth, Markus Schülke, Dominik Seelow, Ulf Leser
Publikováno v:
Database : the journal of biological databases and curation. 2022
High-throughput technologies led to the generation of a wealth of data on regulatory DNA elements in the human genome. However, results from disease-driven studies are primarily shared in textual form as scientific articles. Information extraction (I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b6512f34f522902e20a87cd369dc45b
https://pubmed.ncbi.nlm.nih.gov/35758881
https://pubmed.ncbi.nlm.nih.gov/35758881
Autor:
Jason Fries, Natasha Seelam, Gabriel Altay, Leon Weber, Myungsun Kang, Debajyoti Datta, Ruisi Su, Samuele Garda, Bo Wang, Simon Ott, Matthias Samwald, Wojciech Kusa
Large-scale language modeling and natural language prompting have demonstrated exciting capabilities for few and zero shot learning in NLP. However, translating these successes to specialized domains such as biomedicine remains challenging, due in pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a27c1a046aa3fb38a2437c1ed6ce82d2
http://edoc.mdc-berlin.de/22134/1/22134oa.pdf
http://edoc.mdc-berlin.de/22134/1/22134oa.pdf
Publikováno v:
Proceedings
Deriving and modifying graphs from natural language text has become a versatile basis technology for information extraction with applications in many subfields, such as semantic parsing or knowledge graph construction. A recent work used this techniq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05fb1c0116b00f7aa33971648cb23900
http://edoc.mdc-berlin.de/21568/1/21568oa.pdf
http://edoc.mdc-berlin.de/21568/1/21568oa.pdf
Publikováno v:
JCDL
Hierarchical classification schemes are an effective and natural way to organize large document collections. However, complex schemes make the manual classification time-consuming and require domain experts. Current machine learning approaches for hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35b97fe8ebd47991d4b8ca3d68494d4f
https://doi.org/10.1145/3383583.3398538
https://doi.org/10.1145/3383583.3398538
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030042561
ICADL
ICADL
Content-based recommendation of books and other media is usually based on semantic similarity measures. While metadata can be compared easily, measuring the semantic similarity of narrative literature is challenging. Keyword-based approaches are bias
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d203d8122845cac8189217ac252abf60
https://doi.org/10.1007/978-3-030-04257-8_24
https://doi.org/10.1007/978-3-030-04257-8_24