Zobrazeno 1 - 10
of 301
pro vyhledávání: '"K. Vijay-Shanker"'
Autor:
Peng Su, K. Vijay-Shanker
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-20 (2022)
Abstract Background Recently, automatically extracting biomedical relations has been a significant subject in biomedical research due to the rapid growth of biomedical literature. Since the adaptation to the biomedical domain, the transformer-based B
Externí odkaz:
https://doaj.org/article/cd549500855e4984ad0ba4733ba62c36
Publikováno v:
PLoS ONE, Vol 18, Iss 4 (2023)
Chinese hamster ovary (CHO) cells are widely used for mass production of therapeutic proteins in the pharmaceutical industry. With the growing need in optimizing the performance of producer CHO cell lines, research on CHO cell line development and bi
Externí odkaz:
https://doaj.org/article/29842f22cf694e35a24cc6f2aeeac9a7
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 18, Iss S5, Pp 97-106 (2018)
Abstract Background The Gene Ontology (GO) is a resource that supplies information about gene product function using ontologies to represent biological knowledge. These ontologies cover three domains: Cellular Component (CC), Molecular Function (MF),
Externí odkaz:
https://doaj.org/article/16524b2eb38f469d97d9bc81953813f6
Autor:
Liang Sun, Yongnan Zhu, A. S. M. Ashique Mahmood, Catalina O. Tudor, Jia Ren, K. Vijay-Shanker, Jian Chen, Carl J. Schmidt
Publikováno v:
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-10 (2017)
Abstract Background A major challenge of high throughput transcriptome studies is presenting the data to researchers in an interpretable format. In many cases, the outputs of such studies are gene lists which are then examined for enriched biological
Externí odkaz:
https://doaj.org/article/92b723280a3f4d268688f528bf8c63d1
Autor:
Jeet Vora, Rahi Navelkar, K Vijay-Shanker, Nathan Edwards, Karina Martinez, Xiying Ding, Tianyi Wang, Peng Su, Karen Ross, Frederique Lisacek, Catherine Hayes, Robel Kahsay, Rene Ranzinger, Michael Tiemeyer, Raja Mazumder
Publikováno v:
Glycobiology.
Recent technological advances in glycobiology have resulted in a large influx of data and the publication of many papers describing discoveries in glycoscience. However, the terms used in describing glycan structural features are not standardized, ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8b77397a40c9693d3ff8c58b19f265c
https://doi.org/10.1093/glycob/cwad014
https://doi.org/10.1093/glycob/cwad014
Autor:
Raja Mazumder, Frederic B. Bastian, Samir Gupta, Heather Kincaid, Amanda Bell, K. Vijay-Shanker, Evan Holmes, Daniel J. Crichton, Hayley Dingerdissen, Robel Kahsay, Jonathon Keeney, Marc Robinson-Rechavi, Charles Hadley King, David Liu, Nikhita Gogate
Publikováno v:
JCO Clinical Cancer Informatics
JCO clinical cancer informatics, vol. 4, pp. 210-220
JCO clinical cancer informatics, vol. 4, pp. 210-220
PURPOSE The purpose of OncoMX 1 knowledgebase development was to integrate cancer biomarker and relevant data types into a meta-portal, enabling the research of cancer biomarkers side by side with other pertinent multidimensional data types. METHODS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95182f9514d268d0815cbb3708905f96
https://doi.org/10.1200/cci.19.00117
https://doi.org/10.1200/cci.19.00117
Autor:
Peng Su, K. Vijay-Shanker
BackgroundRecently, automatically extracting biomedical relations has been a significant subject in biomedical research due to the rapid growth of biomedical literature. Since the adaptation to the biomedical domain, the transformer-based BERT models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69b90d86dceb95f4aae2d11460cb9308
https://doi.org/10.21203/rs.3.rs-640112/v1
https://doi.org/10.21203/rs.3.rs-640112/v1
Publikováno v:
Database: The Journal of Biological Databases and Curation
microRNAs (miRNAs) are essential gene regulators, and their dysregulation often leads to diseases. Easy access to miRNA information is crucial for interpreting generated experimental data, connecting facts across publications and developing new hypot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88100502deb1e9fa0a1cc04cad74fa04
https://doi.org/10.1093/database/baab031
https://doi.org/10.1093/database/baab031
MotivationmicroRNAs (miRNAs) are essential gene regulators and their dysregulation often leads to diseases. Easy access to miRNA information is crucial for interpreting generated experimental data, connecting facts across publications, and developing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d390f292c623afa26d5d6f47b6934cb3
https://doi.org/10.1101/2020.11.05.370593
https://doi.org/10.1101/2020.11.05.370593
Publikováno v:
ICSME
Researchers have shown that sentiment analysis of software artifacts can potentially improve various software engineering tools, including API and library recommendation systems, code suggestion tools, and tools for improving communication among soft
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c45c4615f62a0c7faf407032d88b2ce
https://doi.org/10.1109/icsme46990.2020.00025
https://doi.org/10.1109/icsme46990.2020.00025