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The looks of an odour--visualising neural odour response patterns in real time

• Authors : Paul Szyszka; Clemens Müthing; Thomas Laudes

Subjects: Arthropod Antennae; Neuroimaging; Biology

• Source: BMC Bioinformatics

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The looks of an odour - Visualising neural odour response patterns in real time.

• Authors : Strauch, Martin^1,2 ; Müthing, Clemens¹; Broeg, Marc P.¹

• Source: BMC Bioinformatics. 2013, Vol. 14 Issue Suppl 19, p1-15. 15p. 2 Color Photographs, 5 Diagrams, 1 Chart, 2 Graphs.

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WaveletQuant, an improved quantification software based on wavelet signal threshold de-noising for labeled quantitative proteomic analysis.

• Authors : Fan Mo¹; Qun Mo²; Yuanyuan Chen¹

• Source: BMC Bioinformatics. 2010, Vol. 11, p219-227. 9p.

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The comparative analysis of statistics, based on the likelihood ratio criterion, in the automated annotation problem.

• Authors : Leontovich, Andrey M.¹ ; Tokmachev, Konstantin Y.¹ ; van Houwelingen, Hans C.²

• Source: BMC Bioinformatics. 2008, Vol. 9, Special section p1-13. 13p. 1 Diagram, 3 Charts, 1 Graph.

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Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data

• Authors : Cheung Leo; Zhao Xin

Subjects: Computer applications to medicine. Medical informatics; R858-859.7; Biology (General)

• Source: BMC Bioinformatics, Vol 8, Iss 1, p 67 (2007)

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WaveletQuant, an improved quantification software based on wavelet signal threshold de-noising for labeled quantitative proteomic analysis

• Authors : Qun Mo; Fan Mo; Gilbert S. Omenn

Subjects: Proteomics; Proteome; Quantitative proteomics

• Source: BMC Bioinformatics, Vol 11, Iss 1, p 219 (2010)BMC Bioinformatics

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The comparative analysis of statistics, based on the likelihood ratio criterion, in the automated annotation problem

• Authors : Andrey M. Leontovich; Hans C. van Houwelingen; Konstantin Y Tokmachev

Subjects: Computer science; Sequence analysis; Sequence alignment

• Source: BMC BioinformaticsBMC Bioinformatics, Vol 9, Iss 1, p 31 (2008)

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Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data

• Authors : Xin Zhao; Leo Wang-Kit Cheung

Subjects: Computer science; Feature vector; Normal Distribution

• Source: BMC BioinformaticsBMC Bioinformatics, Vol 8, Iss 1, p 67 (2007)

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