This a list of selected relevant papers among the ~75 articles published by BionomeeX founders during their academic activities.

Carré C., Mas A.

Prediction of Hilbertian autoregressive processes : a Recurrent Neural Network approach.

Ann. Isup, (2020). under revision

Brooks MD, Cirrone J, Pasquino AV, Alvarez JM, Swift J, Mittal S, Juang CL, Varala K, Gutiérrez RA, Krouk G, Shasha D, Coruzzi GM.

Network Walking charts transcriptional dynamics of nitrogen signaling by integrating validated and predicted genome-wide interactions.

Nature Communications. 2019, PMID: 30952851.

Carré C, Mas A, Krouk G.

Reverse engineering highlights potential principles of large gene regulatory network design and learning.

NPJ Systems Biology Appl. 2017, PMID: 28649444.

Brunel, E., Mas. A. and Roche, A.

Non-asymptotic Adaptive Prediction in Functional Linear Models,

Journal of Multivariate Analysis, 143, pp. 208-232. 2016.

Ristova D, Carré C, Pervent M, Medici A, Kim GJ, Scalia D, Ruffel S, Birnbaum KD, Lacombe B, Busch W, Coruzzi GM, Krouk G.

Combinatorial interaction network of transcriptomic and phenotypic responses to nitrogen and hormones in the Arabidopsis thaliana root.

Science Signaling. 2016, PMID: 27811143.

Krouk G, Carré C, Fizames C, Gojon A, Ruffel S, Lacombe B.

GeneCloud Reveals Semantic Enrichment in Lists of Gene Descriptions.

Molecular Plant (Cell Press). 2015, PMID: 25707756.

Mas A., Ruymgaart F.

High Dimensional Principal Projections,

Complex Analysis and Operator Theory, 9, 35-63. 2015.

Medici A, Marshall-Colon A, Ronzier E, Szponarski W, Wang R, Gojon A, Crawford NM, Ruffel S, Coruzzi GM, Krouk G.

AtNIGT1/HRS1 integrates nitrate and phosphate signals at the Arabidopsis root tip.

Nature Communications. 2015, PMID: 25723764.

Cezar R., Ienco D., Mas A., Masseglia F., Poncelet P., Pudlo P., Székely E, Teisseire M., Vendrell J.-P.,

Process for identifying rare events,

Patent US 20150363551 A1, WO 2014118343 A2, PCT/EP2014/051963. 2014.

Hilgert N., Mas A., Verzelen N.

Minimax adaptive tests for the Functional Linear model.

Annals of Statistics. 2013.

Krouk G, Lingeman J, Colon AM, Coruzzi G, Shasha D.

Gene regulatory networks: learning causality from time and perturbation.

Genome Biology. 2013 PMCID: PMC3707030.

Crambes C., Mas A.

Asymptotics of prediction in functional linear regression with functional outputs,

Bernoulli, 19, No. 5B, 2627-2651. 2013.

Biau G., Mas A.

PCA-Kernel estimation,

Statistics & Risk Modeling, 29, 19–46. 2012.

Krouk G, Mirowski P, LeCun Y, Shasha DE, Coruzzi GM.

Predictive network modeling of the high-resolution dynamic plant transcriptome in response to nitrate.

Genome Biology. 2010, PMID: 21182762.

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