AutoAssign - An automatic assignment tool for independent components

Matthias Böhm; Kurt Stadlthanner; Ana M. Tomé; Peter Gruber; Ana R. Teixeira; Fabian J. Theis; Carlos G. Puntonet; Elmar W. Lang

doi:10.1007/11492542_10

AutoAssign - An automatic assignment tool for independent components

Matthias Böhm, Kurt Stadlthanner, Ana M. Tomé, Peter Gruber, Ana R. Teixeira, Fabian J. Theis, Carlos G. Puntonet, Elmar W. Lang

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

In this work an automatic assignment tool for estimated independent components within an independent component analysis is presented. The algorithm is applied to the problem of removing the water artifact from 2D NOESY NMR spectra. The algorithm uses local PCA to approximate the water artifact and defines a suitable cost function which is optimized using simulated annealing. The blind source separation of the water artifact from the remaining protein spectrum is done with the recently developed algorithm dAMUSE.

Original language	English
Pages (from-to)	75-82
Number of pages	8
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3523
Issue number	II
DOIs	https://doi.org/10.1007/11492542_10
State	Published - 2005
Externally published	Yes
Event	Second Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2005 - Estoril, Portugal Duration: 7 Jun 2005 → 9 Jun 2005

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10.1007/11492542_10

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Böhm, M., Stadlthanner, K., Tomé, A. M., Gruber, P., Teixeira, A. R., Theis, F. J., Puntonet, C. G., & Lang, E. W. (2005). AutoAssign - An automatic assignment tool for independent components. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3523(II), 75-82. https://doi.org/10.1007/11492542_10

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title = "AutoAssign - An automatic assignment tool for independent components",

abstract = "In this work an automatic assignment tool for estimated independent components within an independent component analysis is presented. The algorithm is applied to the problem of removing the water artifact from 2D NOESY NMR spectra. The algorithm uses local PCA to approximate the water artifact and defines a suitable cost function which is optimized using simulated annealing. The blind source separation of the water artifact from the remaining protein spectrum is done with the recently developed algorithm dAMUSE.",

author = "Matthias B{\"o}hm and Kurt Stadlthanner and Tom{\'e}, {Ana M.} and Peter Gruber and Teixeira, {Ana R.} and Theis, {Fabian J.} and Puntonet, {Carlos G.} and Lang, {Elmar W.}",

year = "2005",

doi = "10.1007/11492542_10",

language = "English",

volume = "3523",

pages = "75--82",

journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

issn = "0302-9743",

publisher = "Springer Science and Business Media Deutschland GmbH",

number = "II",

note = "Second Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2005 ; Conference date: 07-06-2005 Through 09-06-2005",

}

Böhm, M, Stadlthanner, K, Tomé, AM, Gruber, P, Teixeira, AR, Theis, FJ, Puntonet, CG & Lang, EW 2005, 'AutoAssign - An automatic assignment tool for independent components', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3523, no. II, pp. 75-82. https://doi.org/10.1007/11492542_10

AutoAssign - An automatic assignment tool for independent components. / Böhm, Matthias; Stadlthanner, Kurt; Tomé, Ana M. et al.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3523, No. II, 2005, p. 75-82.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - AutoAssign - An automatic assignment tool for independent components

AU - Böhm, Matthias

AU - Stadlthanner, Kurt

AU - Tomé, Ana M.

AU - Gruber, Peter

AU - Teixeira, Ana R.

AU - Theis, Fabian J.

AU - Puntonet, Carlos G.

AU - Lang, Elmar W.

PY - 2005

Y1 - 2005

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AB - In this work an automatic assignment tool for estimated independent components within an independent component analysis is presented. The algorithm is applied to the problem of removing the water artifact from 2D NOESY NMR spectra. The algorithm uses local PCA to approximate the water artifact and defines a suitable cost function which is optimized using simulated annealing. The blind source separation of the water artifact from the remaining protein spectrum is done with the recently developed algorithm dAMUSE.

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DO - 10.1007/11492542_10

M3 - Conference article

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VL - 3523

SP - 75

EP - 82

JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

IS - II

T2 - Second Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2005

Y2 - 7 June 2005 through 9 June 2005

ER -

AutoAssign - An automatic assignment tool for independent components

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