6. Wikipedia and . Churyumov-gerasimenko, , 2017.

E. and R. , , 2017.

R. Schulz, A. C. Boehnhardt, and K. H. Glassmeier, Rosetta: ESA's Mission to the Origin of the Solar System, 2009.

R. Wikipedia, , 2017.

K. Altwegg, H. Balsiger, and J. J. Berthelier, Organics in comet 67P-a first comparative analysis of mass spectra from ROSINA-DFM, COSAC and Ptolemy, MNRAS, vol.479, pp.130-141, 2017.

J. Kissel, K. Altwegg, and B. C. Clark, COSIMA-high resolution time-of-flight secondary ion mass spectrometer for the analysis of cometary dust particles onboard Rosetta, Space Sci Rev, vol.128, issue.1-4, pp.823-867, 2007.

Y. Langevin, M. Hilchenbach, and N. Ligier, Typology of dust particles collected by the COSIMA mass spectrometer in the inner coma of 67P/Churyumov Gerasimenko, Icarus, vol.271, pp.76-97, 2016.
URL : https://hal.archives-ouvertes.fr/in2p3-01270970

S. Merouane, O. Stenzel, and M. Hilchenbach, Evolution of the physical properties of dust and cometary dust activity from 67P/ Churyumov-Gerasimenko measured in situ by, vol.469, pp.459-474, 2017.

S. Merouane, B. Zaprudin, and O. Stenzel, Dust particle flux and size distribution in the coma of 67P/Churyumov-Gerasimenko measured in situ by the COSIMA instrument on board Rosetta, Astron Astrophys, vol.596, p.87, 2016.

K. Hornung, S. Merouane, and M. Hilchenbach, A first assessment of the strength of cometary particles collected in-situ by the COSIMA instrument onboard ROSETTA, Planet Space Sci, vol.133, pp.63-75, 2016.
URL : https://hal.archives-ouvertes.fr/insu-01351370

D. Brownlee, The Stardust mission: analyzing samples from the edge of the solar system, Annu Rev Earth Planet Sci, vol.42, issue.1, pp.179-205, 2014.

T. Stephan, G. J. Flynn, S. A. Sandford, and M. E. Zolensky, TOF-SIMS analysis of cometary particles extracted from Stardust aerogel, Meteoritics Planet Sci, vol.43, issue.1-2, pp.285-298, 2008.

A. Bardyn, D. Baklouti, and H. Cottin, Carbon-rich dust in comet 67P, vol.469, pp.712-722, 2017.

O. Stenzel, M. Hilchenbach, and S. Merouane, Similarities in element content between comet 67P/Churyumov-Gerasimenko coma dust and selected meteorite samples, MNRAS, vol.469, issue.Suppl_2, pp.492-505, 2017.

N. Fray, A. Bardyn, and H. Cottin, Nitrogen-to-carbon atomic ratio measured by COSIMA in the particles of comet 67P/ChuryumovGerasimenko, MNRAS, vol.469, issue.Suppl_2, pp.506-516, 2017.

N. Fray, A. Bardyn, and H. Cottin, High-molecular-weight organic matter in the particles of comet 67P/Churyumov-Gerasimenko, Nature, vol.528, pp.72-74, 2016.
URL : https://hal.archives-ouvertes.fr/insu-01362335

K. Hornung, J. Kissel, and H. Fischer, Collecting cometary dust particles on metal blacks with the COSIMA instrument onboard ROSETTA, Planet Space Sci, vol.103, pp.309-317, 2014.
URL : https://hal.archives-ouvertes.fr/in2p3-01101328

Y. Xu and R. G. Brereton, Diagnostic pattern recognition on gene-expression profile data by using one-class classification, J Chem Inf Model, vol.45, issue.5, pp.1392-1401, 2005.

M. Hubert, P. J. Rousseeuw, and K. Vanden-branden, ROBPCA: a new approach to robust principal components, Technometrics, vol.47, issue.1, pp.64-79, 2005.

K. Varmuza, P. Filzmoser, and M. Hilchenbach, Selected chemometric approaches for mass spectra from comet dust grains (Rosetta), 14th Scandinavian Symposium on Chemometrics, pp.14-17, 2015.

J. Paquette, C. Engrand, O. Stenzel, M. Hilchenbach, and J. Kissel, Searching for calcium-aluminum-rich inclusions in cometary particles with Rosetta/COSIMA, Meteoritics Planet Sci, vol.51, issue.7, pp.1340-1352, 2016.
URL : https://hal.archives-ouvertes.fr/insu-01351380

R. , A language and environment for statistical computing, R Development Core Team, Foundation for Statistical Computing, 2017.

R. G. Brereton and G. R. Lloyd, Partial least squares discriminant analysis: taking the magic away, J Chemometr, vol.28, pp.213-225, 2013.

P. Filzmoser, B. Liebmann, and K. Varmuza, Repeated double cross validation, J Chemometr, vol.23, issue.4, pp.160-171, 2009.

K. Varmuza and P. Filzmoser, Repeated double cross validation (rdCV)-a strategy for optimizing empirical multivariate models, and for comparing their prediction performances, vol.2015, pp.15-31

L. Breiman, J. Friedman, C. J. Stone, and R. A. Olshen, Classification and Regression Trees, 1984.

L. Breiman, Random forests, Mach Learn, vol.45, issue.1, pp.5-32, 2001.

A. Liaw and M. Wiener, Classification and regression by random forest. R News, vol.2, pp.18-22, 2002.

J. Walach, P. Filzmoser, K. Hron, B. Walczak, and L. Najdekr, Robust biomarker identification in a two-class problem based on pairwise logratios, Chemom Intell Lab Syst, vol.171, pp.277-285, 2017.

V. J. Yohai and R. H. Zamar, High breakdown-point estimates of regression by means of the minimization of an efficient scale, J Am Stat Assoc, vol.83, issue.402, pp.406-413, 1988.

M. Templ, K. Hron, P. Filzmoser, and A. Gardlo, Imputation of rounded zeros for high-dimensional compositional data, Chemom Intell Lab Syst, vol.155, pp.183-190, 2016.

R. Wehrens, P. Franceschi, U. Vrhovsek, and F. Mattivi, Stability-based biomarker selection, Anal. Chim. Acta, vol.705, issue.1-2, pp.15-23, 2011.

M. Hilchenbach, J. Kissel, and Y. Langevin, Comet 67P/Churyumov-Gerasimenko: close-up on dust particle fragments, Astrophys J Lett, vol.816, issue.2, p.32, 2016.
URL : https://hal.archives-ouvertes.fr/in2p3-01291758

K. Varmuza, P. Filzmoser, and I. Hoffmann, Significance of variables for discrimination: Applied to the search of organic ions in mass spectra measured on cometary particles, Journal of Chemometrics, vol.3001, 2018.
URL : https://hal.archives-ouvertes.fr/insu-01897886