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Journal of cheminformatics

Showing results (561-570 of 1,363) with videos related to

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Journal of Cheminformatics|March 24, 2015
Machines first, humans second: on the importance of algorithmic interpretation of open chemistry dataAlex M Clark, Antony J Williams, Sean Ekins
Journal of Cheminformatics|March 27, 2015
Chemical entity extraction using CRF and an ensemble of extractorsMadian Khabsa, C Lee Giles
Journal of Cheminformatics|March 27, 2015
The CHEMDNER corpus of chemicals and drugs and its annotation principlesMartin Krallinger, Obdulia Rabal, Florian Leitner, et al.
Journal of Cheminformatics|March 27, 2015
Optimising chemical named entity recognition with pre-processing analytics, knowledge-rich features and heuristicsRiza Batista-Navarro, Rafal Rak, Sophia Ananiadou
Journal of Cheminformatics|August 13, 2022
Using Jupyter Notebooks for re-training machine learning modelsAljoša Smajić, Melanie Grandits, Gerhard F Ecker
Journal of Cheminformatics|March 24, 2023
GlyLES: Grammar-based Parsing of Glycans from IUPAC-condensed to SMILESRoman Joeres, Daniel Bojar, Olga V Kalinina
Journal of Cheminformatics|March 17, 2023
DFFNDDS: prediction of synergistic drug combinations with dual feature fusion networksMengdie Xu, Xinwei Zhao, Jingyu Wang, et al.
Journal of Cheminformatics|November 11, 2022
Scaffold Generator: a Java library implementing molecular scaffold functionalities in the Chemistry Development Kit (CDK)Jonas Schaub, Julian Zander, Achim Zielesny, et al.
Journal of Cheminformatics|February 7, 2023
How to approach machine learning-based prediction of drug/compound-target interactionsHeval Atas Guvenilir, Tunca Doğan
Journal of Cheminformatics|February 9, 2023
Efficient virtual high-content screening using a distance-aware transformer modelManuel S Sellner, Amr H Mahmoud, Markus A Lill
Pageof 137

Showing results (561-570 of 1,363) with videos related to

Sort By:
Pageof 137
Journal of Cheminformatics|March 24, 2015
Machines first, humans second: on the importance of algorithmic interpretation of open chemistry dataAlex M Clark, Antony J Williams, Sean Ekins
Journal of Cheminformatics|March 27, 2015
Chemical entity extraction using CRF and an ensemble of extractorsMadian Khabsa, C Lee Giles
Journal of Cheminformatics|March 27, 2015
The CHEMDNER corpus of chemicals and drugs and its annotation principlesMartin Krallinger, Obdulia Rabal, Florian Leitner, et al.
Journal of Cheminformatics|March 27, 2015
Optimising chemical named entity recognition with pre-processing analytics, knowledge-rich features and heuristicsRiza Batista-Navarro, Rafal Rak, Sophia Ananiadou
Journal of Cheminformatics|August 13, 2022
Using Jupyter Notebooks for re-training machine learning modelsAljoša Smajić, Melanie Grandits, Gerhard F Ecker
Journal of Cheminformatics|March 24, 2023
GlyLES: Grammar-based Parsing of Glycans from IUPAC-condensed to SMILESRoman Joeres, Daniel Bojar, Olga V Kalinina
Journal of Cheminformatics|March 17, 2023
DFFNDDS: prediction of synergistic drug combinations with dual feature fusion networksMengdie Xu, Xinwei Zhao, Jingyu Wang, et al.
Journal of Cheminformatics|November 11, 2022
Scaffold Generator: a Java library implementing molecular scaffold functionalities in the Chemistry Development Kit (CDK)Jonas Schaub, Julian Zander, Achim Zielesny, et al.
Journal of Cheminformatics|February 7, 2023
How to approach machine learning-based prediction of drug/compound-target interactionsHeval Atas Guvenilir, Tunca Doğan
Journal of Cheminformatics|February 9, 2023
Efficient virtual high-content screening using a distance-aware transformer modelManuel S Sellner, Amr H Mahmoud, Markus A Lill
Pageof 137