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Refinado por: Base de dados/Biblioteca: BACON - Mir@bel - GLOBAL_LIBRESACCES remover assunto: Physical Sciences remover Biochemistry & Molecular Biology remover
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PET Molecular Imaging: A Holistic Review of Current Practice and Emerging Perspectives for Diagnosis, Therapeutic Evaluation and Prognosis in Clinical Oncology
PET Molecular Imaging: A Holistic Review of Current Practice and Emerging Perspectives for Diagnosis, Therapeutic Evaluation and Prognosis in Clinical Oncology
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PET Molecular Imaging: A Holistic Review of Current Practice and Emerging Perspectives for Diagnosis, Therapeutic Evaluation and Prognosis in Clinical Oncology

Duclos, Valentin ; Iep, Alex ; Gomez, Léa ; Goldfarb, Lucas ; Besson, Florent L

International journal of molecular sciences, 2021-04, Vol.22 (8), p.4159 [Periódico revisado por pares]

Switzerland: MDPI AG

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2
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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3
Complete Sequence, Multichromosomal Architecture and Transcriptome Analysis of the Solanum tuberosum Mitochondrial Genome
Complete Sequence, Multichromosomal Architecture and Transcriptome Analysis of the Solanum tuberosum Mitochondrial Genome
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Complete Sequence, Multichromosomal Architecture and Transcriptome Analysis of the Solanum tuberosum Mitochondrial Genome

Varré, Jean-Stéphane ; D'Agostino, Nunzio ; Touzet, Pascal ; Gallina, Sophie ; Tamburino, Rachele ; Cantarella, Concita ; Ubrig, Elodie ; Cardi, Teodoro ; Drouard, Laurence ; Gualberto, José Manuel ; Scotti, Nunzia

International journal of molecular sciences, 2019-09, Vol.20 (19), p.4788 [Periódico revisado por pares]

Switzerland: MDPI AG

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4
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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5
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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6
Oritatami: A Computational Model for Molecular Co-Transcriptional Folding
Oritatami: A Computational Model for Molecular Co-Transcriptional Folding
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Oritatami: A Computational Model for Molecular Co-Transcriptional Folding

Geary, Cody ; Meunier, Pierre-Étienne ; Schabanel, Nicolas ; Seki, Shinnosuke

International journal of molecular sciences, 2019-05, Vol.20 (9), p.2259 [Periódico revisado por pares]

Switzerland: MDPI AG

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7
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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8
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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9
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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10
Bat detective-Deep learning tools for bat acoustic signal detection
Bat detective-Deep learning tools for bat acoustic signal detection
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Bat detective-Deep learning tools for bat acoustic signal detection

Mac Aodha, Oisin ; Gibb, Rory ; Barlow, Kate E ; Browning, Ella ; Firman, Michael ; Freeman, Robin ; Harder, Briana ; Kinsey, Libby ; Mead, Gary R ; Newson, Stuart E ; Pandourski, Ivan ; Parsons, Stuart ; Russ, Jon ; Szodoray-Paradi, Abigel ; Szodoray-Paradi, Farkas ; Tilova, Elena ; Girolami, Mark ; Brostow, Gabriel ; Jones, Kate E Fenton, Brock

PLoS computational biology, 2018-03, Vol.14 (3), p.e1005995-e1005995 [Periódico revisado por pares]

United States: Public Library of Science

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