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Items: 11

1.

A Data Integration Multi-Omics Approach to Study Calorie Restriction-Induced Changes in Insulin Sensitivity.

Dao MC, Sokolovska N, Brazeilles R, Affeldt S, Pelloux V, Prifti E, Chilloux J, Verger EO, Kayser BD, Aron-Wisnewsky J, Ichou F, Pujos-Guillot E, Hoyles L, Juste C, Doré J, Dumas ME, Rizkalla SW, Holmes BA, Zucker JD, Clément K; MICRO-Obes Consortium.

Front Physiol. 2019 Feb 5;9:1958. doi: 10.3389/fphys.2018.01958. eCollection 2018.

2.

Using Unlabeled Data to Discover Bivariate Causality with Deep Restricted Boltzmann Machines.

Sokolovska N, Permiakova O, Forslund K, Zucker JD.

IEEE/ACM Trans Comput Biol Bioinform. 2018 Nov 5. doi: 10.1109/TCBB.2018.2879504. [Epub ahead of print]

PMID:
30403636
3.

Long-term Relapse of Type 2 Diabetes After Roux-en-Y Gastric Bypass: Prediction and Clinical Relevance.

Debédat J, Sokolovska N, Coupaye M, Panunzi S, Chakaroun R, Genser L, de Turenne G, Bouillot JL, Poitou C, Oppert JM, Blüher M, Stumvoll M, Mingrone G, Ledoux S, Zucker JD, Clément K, Aron-Wisnewsky J.

Diabetes Care. 2018 Oct;41(10):2086-2095. doi: 10.2337/dc18-0567. Epub 2018 Aug 6.

PMID:
30082327
4.

The advanced-DiaRem score improves prediction of diabetes remission 1 year post-Roux-en-Y gastric bypass.

Aron-Wisnewsky J, Sokolovska N, Liu Y, Comaneshter DS, Vinker S, Pecht T, Poitou C, Oppert JM, Bouillot JL, Genser L, Dicker D, Zucker JD, Rudich A, Clément K.

Diabetologia. 2017 Oct;60(10):1892-1902. doi: 10.1007/s00125-017-4371-7. Epub 2017 Jul 21.

PMID:
28733906
5.

The FAT Score, a Fibrosis Score of Adipose Tissue: Predicting Weight-Loss Outcome After Gastric Bypass.

Bel Lassen P, Charlotte F, Liu Y, Bedossa P, Le Naour G, Tordjman J, Poitou C, Bouillot JL, Genser L, Zucker JD, Sokolovska N, Aron-Wisnewsky J, Clément K.

J Clin Endocrinol Metab. 2017 Jul 1;102(7):2443-2453. doi: 10.1210/jc.2017-00138.

PMID:
28419237
6.

Spectral consensus strategy for accurate reconstruction of large biological networks.

Affeldt S, Sokolovska N, Prifti E, Zucker JD.

BMC Bioinformatics. 2016 Dec 13;17(Suppl 16):493. doi: 10.1186/s12859-016-1308-y.

7.

Sparse Zero-Sum Games as Stable Functional Feature Selection.

Sokolovska N, Teytaud O, Rizkalla S; MicroObese consortium, Clément K, Zucker JD.

PLoS One. 2015 Sep 1;10(9):e0134683. doi: 10.1371/journal.pone.0134683. eCollection 2015.

8.

Akkermansia muciniphila and improved metabolic health during a dietary intervention in obesity: relationship with gut microbiome richness and ecology.

Dao MC, Everard A, Aron-Wisnewsky J, Sokolovska N, Prifti E, Verger EO, Kayser BD, Levenez F, Chilloux J, Hoyles L; MICRO-Obes Consortium, Dumas ME, Rizkalla SW, Doré J, Cani PD, Clément K.

Gut. 2016 Mar;65(3):426-36. doi: 10.1136/gutjnl-2014-308778. Epub 2015 Jun 22.

9.

Circulating phospholipid profiling identifies portal contribution to NASH signature in obesity.

Anjani K, Lhomme M, Sokolovska N, Poitou C, Aron-Wisnewsky J, Bouillot JL, Lesnik P, Bedossa P, Kontush A, Clement K, Dugail I, Tordjman J.

J Hepatol. 2015 Apr;62(4):905-12. doi: 10.1016/j.jhep.2014.11.002. Epub 2014 Nov 8.

PMID:
25450212
10.

Insulin resistance and inflammation predict kinetic body weight changes in response to dietary weight loss and maintenance in overweight and obese subjects by using a Bayesian network approach.

Kong LC, Wuillemin PH, Bastard JP, Sokolovska N, Gougis S, Fellahi S, Darakhshan F, Bonnefont-Rousselot D, Bittar R, Doré J, Zucker JD, Clément K, Rizkalla S.

Am J Clin Nutr. 2013 Dec;98(6):1385-94. doi: 10.3945/ajcn.113.058099. Epub 2013 Oct 30.

PMID:
24172304
11.

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