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Attention model-based and multi-organism driven gene recogn..:
, In:
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
,
Bomgni, Alain Bertrand
;
Fotseu, Ernest Basile Fotseu
;
Wambo, Daril Raoul Kengne
... - p. 3596-3598 , 2022
Link:
https://doi.org/10.1109/BIBM55620.2022.9995269
RT T1 <cTitle>2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)</cTitle>: T1 <Title>Attention model-based and multi-organism driven gene recognition from text: application to a microbial biofilm organism set</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9995269&Exemplar=1&LAN=DE A1 Bomgni, Alain Bertrand A1 Fotseu, Ernest Basile Fotseu A1 Wambo, Daril Raoul Kengne A1 Sani, Rajesh K. A1 Lushbough, Carol A1 Zohim, Etienne Gnimpieba YR 2022 K1 Dictionaries K1 Text recognition K1 Databases K1 Biological system modeling K1 Organisms K1 Explosions K1 Data mining K1 Text mining K1 NER K1 Machine learning K1 Gene extraction K1 Biofilm SP 3596 OP 3598 LK http://dx.doi.org/https://doi.org/10.1109/BIBM55620.2022.9995269 DO https://doi.org/10.1109/BIBM55620.2022.9995269 SF ELIB - SuUB Bremen
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