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1
Robust Conditional Independence maps of single-voxel Magnetic Resonance Spectra to elucidate associations between brain tumours and metabolites
Robust Conditional Independence maps of single-voxel Magnetic Resonance Spectra to elucidate associations between brain tumours and metabolites
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Robust Conditional Independence maps of single-voxel Magnetic Resonance Spectra to elucidate associations between brain tumours and metabolites

Casaña-Eslava, Raúl Vicente ; Ortega-Martorell, Sandra ; Lisboa, Paulo J ; Candiota, Ana Paula ; Julià-Sapé, Margarida ; Martín-Guerrero, José David ; Jarman, Ian H Daniels, Bryan C

PloS one, 2020-07, Vol.15 (7), p.e0235057-e0235057 [Periódico revisado por pares]

San Francisco: Public Library of Science

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2
Convex non-negative matrix factorization for brain tumor delimitation from MRSI data
Convex non-negative matrix factorization for brain tumor delimitation from MRSI data
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Convex non-negative matrix factorization for brain tumor delimitation from MRSI data

Ortega-Martorell, Sandra ; Lisboa, Paulo J G ; Vellido, Alfredo ; Simões, Rui V ; Pumarola, Martí ; Julià-Sapé, Margarida ; Arús, Carles Monleon, Daniel

PloS one, 2012-10, Vol.7 (10), p.e47824-e47824 [Periódico revisado por pares]

United States: Public Library of Science

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3
A novel semi-supervised methodology for extracting tumor type-specific MRS sources in human brain data
A novel semi-supervised methodology for extracting tumor type-specific MRS sources in human brain data
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A novel semi-supervised methodology for extracting tumor type-specific MRS sources in human brain data

Ortega-Martorell, Sandra ; Ruiz, Héctor ; Vellido, Alfredo ; Olier, Iván ; Romero, Enrique ; Julià-Sapé, Margarida ; Martín, José D ; Jarman, Ian H ; Arús, Carles ; Lisboa, Paulo J G Monleon, Daniel

PloS one, 2013-12, Vol.8 (12), p.e83773-e83773 [Periódico revisado por pares]

United States: Public Library of Science

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4
Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours
Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours
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Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours

Ortega-Martorell, Sandra ; Lisboa, Paulo J G ; Vellido, Alfredo ; Julià-Sapé, Margarida ; Arús, Carles

BMC bioinformatics, 2012-03, Vol.13 (1), p.38-38, Article 38 [Periódico revisado por pares]

England: BioMed Central Ltd

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5
Finding reproducible cluster partitions for the k-means algorithm
Finding reproducible cluster partitions for the k-means algorithm
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Finding reproducible cluster partitions for the k-means algorithm

Lisboa, Paulo J G ; Etchells, Terence A ; Jarman, Ian H ; Chambers, Simon J

BMC bioinformatics, 2013-01, Vol.14 Suppl 1 (Suppl 1), p.S8-S8, Article S8 [Periódico revisado por pares]

England: BioMed Central

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6
How to find simple and accurate rules for viral protease cleavage specificities
How to find simple and accurate rules for viral protease cleavage specificities
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How to find simple and accurate rules for viral protease cleavage specificities

Rögnvaldsson, Thorsteinn ; Etchells, Terence A ; You, Liwen ; Garwicz, Daniel ; Jarman, Ian ; Lisboa, Paulo J G

BMC bioinformatics, 2009-05, Vol.10 (1), p.149-149, Article 149 [Periódico revisado por pares]

England: BioMed Central Ltd

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7
The influence of litter quality on the relationship between vegetation and below-ground compartments: a Procrustean approach
The influence of litter quality on the relationship between vegetation and below-ground compartments: a Procrustean approach
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The influence of litter quality on the relationship between vegetation and below-ground compartments: a Procrustean approach

Lisboa, Francy J. G. ; Chaer, Guilherme M. ; da C. Jesus, Ederson ; de Faria, Sérgio M. ; Gonçalves, Fernando S. ; Santos, Felipe M. ; Castilho, Alexandre F. ; Berbara, Ricardo L. L.

Plant and soil, 2013-06, Vol.367 (1/2), p.551-562 [Periódico revisado por pares]

Dordrecht: Springer

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8
Synergies between low- and intermediate-redshift galaxy populations revealed with unsupervised machine learning
Synergies between low- and intermediate-redshift galaxy populations revealed with unsupervised machine learning
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Synergies between low- and intermediate-redshift galaxy populations revealed with unsupervised machine learning

Turner, Sebastian ; Siudek, Malgorzata ; Salim, Samir ; Baldry, Ivan K ; Pollo, Agnieszka ; Longmore, Steven N ; Malek, Katarzyna ; Collins, Chris A ; Lisboa, Paulo J ; Krywult, Janusz ; Moutard, Thibaud ; Vergani, Daniela ; Fritz, Alexander

Monthly notices of the Royal Astronomical Society, 2021-05, Vol.503 (2), p.3010-3031 [Periódico revisado por pares]

Oxford University Press

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9
Regeneration responses differ among three boreal mosses after exposure to extreme temperatures
Regeneration responses differ among three boreal mosses after exposure to extreme temperatures
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Regeneration responses differ among three boreal mosses after exposure to extreme temperatures

Pasiche-Lisboa, Carlos J ; Belland, René J ; Piercey-Normore, Michele D

Botany, 2018-08, Vol.96 (8), p.521-532 [Periódico revisado por pares]

NRC Research Press

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10
Music genre profiling based on Fisher manifolds and Probabilistic Quantum Clustering
Music genre profiling based on Fisher manifolds and Probabilistic Quantum Clustering
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Music genre profiling based on Fisher manifolds and Probabilistic Quantum Clustering

Casaña-Eslava, Raúl V. ; Jarman, Ian H. ; Ortega-Martorell, Sandra ; Lisboa, Paulo J. G. ; Martín-Guerrero, José D.

Neural computing & applications, 2021-07, Vol.33 (13), p.7521-7539 [Periódico revisado por pares]

London: Springer London

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