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Model-checking ecological state-transition graphs
Model-checking ecological state-transition graphs
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Model-checking ecological state-transition graphs

Thomas, Colin ; Cosme, Maximilien ; Gaucherel, Cédric ; Pommereau, Franck Scarpino, Samuel V.

PLoS computational biology, 2022-06, Vol.18 (6), p.e1009657-e1009657 [Periódico revisado por pares]

United States: Public Library of Science

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DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences
DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences
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DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences

Lee, Ingoo ; Keum, Jongsoo ; Nam, Hojung Briggs, James M.

PLoS computational biology, 2019-06, Vol.15 (6), p.e1007129 [Periódico revisado por pares]

United States: Public Library of Science

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3
Machine and deep learning meet genome-scale metabolic modeling
Machine and deep learning meet genome-scale metabolic modeling
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Machine and deep learning meet genome-scale metabolic modeling

Zampieri, Guido ; Vijayakumar, Supreeta ; Yaneske, Elisabeth ; Angione, Claudio Nielsen, Jens

PLoS computational biology, 2019-07, Vol.15 (7), p.e1007084-e1007084 [Periódico revisado por pares]

United States: Public Library of Science

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4
SFPEL-LPI: Sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions
SFPEL-LPI: Sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions
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SFPEL-LPI: Sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions

Zhang, Wen ; Yue, Xiang ; Tang, Guifeng ; Wu, Wenjian ; Huang, Feng ; Zhang, Xining Ioshikhes, Ilya

PLoS computational biology, 2018-12, Vol.14 (12), p.e1006616-e1006616 [Periódico revisado por pares]

United States: Public Library of Science

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5
The development and application of bioinformatics core competencies to improve bioinformatics training and education
The development and application of bioinformatics core competencies to improve bioinformatics training and education
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The development and application of bioinformatics core competencies to improve bioinformatics training and education

Mulder, Nicola ; Schwartz, Russell ; Brazas, Michelle D ; Brooksbank, Cath ; Gaeta, Bruno ; Morgan, Sarah L ; Pauley, Mark A ; Rosenwald, Anne ; Rustici, Gabriella ; Sierk, Michael ; Warnow, Tandy ; Welch, Lonnie Troyanskaya, Olga G.

PLoS computational biology, 2018-02, Vol.14 (2), p.e1005772-e1005772 [Periódico revisado por pares]

United States: Public Library of Science

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6
Estimation of Directed Effective Connectivity from fMRI Functional Connectivity Hints at Asymmetries of Cortical Connectome
Estimation of Directed Effective Connectivity from fMRI Functional Connectivity Hints at Asymmetries of Cortical Connectome
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Estimation of Directed Effective Connectivity from fMRI Functional Connectivity Hints at Asymmetries of Cortical Connectome

Gilson, Matthieu ; Moreno-Bote, Ruben ; Ponce-Alvarez, Adrián ; Ritter, Petra ; Deco, Gustavo Jbabdi, Saad

PLoS computational biology, 2016-03, Vol.12 (3), p.e1004762-e1004762 [Periódico revisado por pares]

United States: Public Library of Science

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7
Computational Modeling, Formal Analysis, and Tools for Systems Biology
Computational Modeling, Formal Analysis, and Tools for Systems Biology
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Computational Modeling, Formal Analysis, and Tools for Systems Biology

Bartocci, Ezio ; Lió, Pietro Kwiatkowska, Marta Zofia

PLoS computational biology, 2016-01, Vol.12 (1), p.e1004591-e1004591 [Periódico revisado por pares]

United States: Public Library of Science

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8
SPINDLE: End-to-end learning from EEG/EMG to extrapolate animal sleep scoring across experimental settings, labs and species
SPINDLE: End-to-end learning from EEG/EMG to extrapolate animal sleep scoring across experimental settings, labs and species
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SPINDLE: End-to-end learning from EEG/EMG to extrapolate animal sleep scoring across experimental settings, labs and species

Miladinović, Đorđe ; Muheim, Christine ; Bauer, Stefan ; Spinnler, Andrea ; Noain, Daniela ; Bandarabadi, Mojtaba ; Gallusser, Benjamin ; Krummenacher, Gabriel ; Baumann, Christian ; Adamantidis, Antoine ; Brown, Steven A ; Buhmann, Joachim M Winsky-Sommerer, Raphaelle

PLoS computational biology, 2019-04, Vol.15 (4), p.e1006968 [Periódico revisado por pares]

United States: Public Library of Science

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9
Prediction of antibiotic resistance in Escherichia coli from large-scale pan-genome data
Prediction of antibiotic resistance in Escherichia coli from large-scale pan-genome data
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Prediction of antibiotic resistance in Escherichia coli from large-scale pan-genome data

Moradigaravand, Danesh ; Palm, Martin ; Farewell, Anne ; Mustonen, Ville ; Warringer, Jonas ; Parts, Leopold Darling, Aaron E.

PLoS computational biology, 2018-12, Vol.14 (12), p.e1006258-e1006258 [Periódico revisado por pares]

United States: Public Library of Science

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10
Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors
Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors
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Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors

Cichonska, Anna ; Ravikumar, Balaguru ; Parri, Elina ; Timonen, Sanna ; Pahikkala, Tapio ; Airola, Antti ; Wennerberg, Krister ; Rousu, Juho ; Aittokallio, Tero Schlessinger, Avner

PLoS computational biology, 2017-08, Vol.13 (8), p.e1005678-e1005678 [Periódico revisado por pares]

United States: Public Library of Science

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