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Items: 4

1.

A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection.

Fourati S, Talla A, Mahmoudian M, Burkhart JG, Klén R, Henao R, Yu T, Aydın Z, Yeung KY, Ahsen ME, Almugbel R, Jahandideh S, Liang X, Nordling TEM, Shiga M, Stanescu A, Vogel R; Respiratory Viral DREAM Challenge Consortium, Pandey G, Chiu C, McClain MT, Woods CW, Ginsburg GS, Elo LL, Tsalik EL, Mangravite LM, Sieberts SK.

Nat Commun. 2018 Oct 24;9(1):4418. doi: 10.1038/s41467-018-06735-8.

2.

Constraints on signaling network logic reveal functional subgraphs on Multiple Myeloma OMIC data.

Miannay B, Minvielle S, Magrangeas F, Guziolowski C.

BMC Syst Biol. 2018 Mar 21;12(Suppl 3):32. doi: 10.1186/s12918-018-0551-4.

3.

Discriminate the response of Acute Myeloid Leukemia patients to treatment by using proteomics data and Answer Set Programming.

Chebouba L, Miannay B, Boughaci D, Guziolowski C.

BMC Bioinformatics. 2018 Mar 8;19(Suppl 2):59. doi: 10.1186/s12859-018-2034-4.

4.

Logic programming reveals alteration of key transcription factors in multiple myeloma.

Miannay B, Minvielle S, Roux O, Drouin P, Avet-Loiseau H, Guérin-Charbonnel C, Gouraud W, Attal M, Facon T, Munshi NC, Moreau P, Campion L, Magrangeas F, Guziolowski C.

Sci Rep. 2017 Aug 23;7(1):9257. doi: 10.1038/s41598-017-09378-9.

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