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Classification of Proteomic MS Data as Bayesian Solution of an Inverse Problem.

P. Szacherski, J. Giovannelli, L. Gerfault, P. Mahé, J. Charrier, A. Giremus, B. Lacroix, and P. Grangeat. IEEE Access, (2014)

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Pierre Nacke University of Stuttgart

Dr. rer. nat. Pierre Eckold University of Stuttgart

Pierre Kuna University of Stuttgart

Tharshan Maheswaran University of Stuttgart

Danyal Maheshwari University of Stuttgart

Other publications of authors with the same name

Large-scale machine learning for metagenomics sequence classification.K. Vervier, P. Mahé, M. Tournoud, J. Veyrieras, and J. Vert. Bioinformatics, 32 (7): 1023-1032 (2016)Benchmark of structured machine learning methods for microbial identification from mass-spectrometry data.K. Vervier, P. Mahé, J. Veyrieras, and J. Vert. CoRR, (2015)Variance component analysis to assess protein quantification in biomarker validation: application to selected reaction monitoring-mass spectrometry.A. Klich, C. Mercier, L. Gerfault, P. Grangeat, C. Beaulieu, E. Degout-Charmette, T. Fortin, P. Mahé, J. Giovannelli, J. Charrier and 3 other author(s). BMC Bioinformatics, 19 (1): 73:1-73:12 (2018)The Pharmacophore Kernel for Virtual Screening with Support Vector Machines.P. Mahé, L. Ralaivola, V. Stoven, and J. Vert. Journal of Chemical Information and Modeling, 46 (5): 2003-2014 (2006)Large-scale Machine Learning for Metagenomics Sequence Classification.K. Vervier, P. Mahé, M. Tournoud, J. Veyrieras, and J. Vert. CoRR, (2015)Classification of Proteomic MS Data as Bayesian Solution of an Inverse Problem.P. Szacherski, J. Giovannelli, L. Gerfault, P. Mahé, J. Charrier, A. Giremus, B. Lacroix, and P. Grangeat. IEEE Access, (2014)Factored sequence kernels.P. Mahé, and N. Cancedda. ESANN, page 409-414. (2008)Predicting bacterial resistance from whole-genome sequences using k-mers and stability selection.P. Mahé, and M. Tournoud. BMC Bioinformatics, 19 (1): 383:1-383:11 (2018)Virtual screening with support vector machines and structure kernelsP. Mahé, and J. Vert. CoRR, (2007)Factored sequence kernels.N. Cancedda, and P. Mahé. Neurocomputing, 72 (7-9): 1407-1413 (2009)

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Disambiguation of "Mahé, Pierre"

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Classification of Proteomic MS Data as Bayesian Solution of an Inverse Problem.

Please choose a person to relate this publication to

Pierre Nacke University of Stuttgart

Dr. rer. nat. Pierre Eckold University of Stuttgart

Pierre Kuna University of Stuttgart

Tharshan Maheswaran University of Stuttgart

Danyal Maheshwari University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Mahé, Pierre"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Classification of Proteomic MS Data as Bayesian Solution of an Inverse Problem.

Please choose a person to relate this publication to

Pierre Nacke University of Stuttgart

Dr. rer. nat. Pierre Eckold University of Stuttgart

Pierre Kuna University of Stuttgart

Tharshan Maheswaran University of Stuttgart

Danyal Maheshwari University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Classification of Proteomic MS Data as Bayesian Solution of an Inverse Problem.