Statnikov A - Search Results

1

Quantitative forecasting of PTSD from early trauma responses: a Machine Learning application.

Galatzer-Levy IR, Karstoft KI, Statnikov A, Shalev AY. Galatzer-Levy IR, et al. Among authors: statnikov a. J Psychiatr Res. 2014 Dec;59:68-76. doi: 10.1016/j.jpsychires.2014.08.017. Epub 2014 Sep 16. J Psychiatr Res. 2014. PMID: 25260752 Free PMC article.

2

Utilization of machine learning for prediction of post-traumatic stress: a re-examination of cortisol in the prediction and pathways to non-remitting PTSD.

Galatzer-Levy IR, Ma S, Statnikov A, Yehuda R, Shalev AY. Galatzer-Levy IR, et al. Among authors: statnikov a. Transl Psychiatry. 2017 Mar 21;7(3):e0. doi: 10.1038/tp.2017.38. Transl Psychiatry. 2017. PMID: 28323285 Free PMC article.

3

Bridging a translational gap: using machine learning to improve the prediction of PTSD.

Karstoft KI, Galatzer-Levy IR, Statnikov A, Li Z, Shalev AY; members of Jerusalem Trauma Outreach and Prevention Study (J-TOPS) group. Karstoft KI, et al. Among authors: statnikov a. BMC Psychiatry. 2015 Mar 16;15:30. doi: 10.1186/s12888-015-0399-8. BMC Psychiatry. 2015. PMID: 25886446 Free PMC article.

4

Early identification of posttraumatic stress following military deployment: Application of machine learning methods to a prospective study of Danish soldiers.

Karstoft KI, Statnikov A, Andersen SB, Madsen T, Galatzer-Levy IR. Karstoft KI, et al. Among authors: statnikov a. J Affect Disord. 2015 Sep 15;184:170-5. doi: 10.1016/j.jad.2015.05.057. Epub 2015 Jun 10. J Affect Disord. 2015. PMID: 26093830

5

De-novo learning of genome-scale regulatory networks in S. cerevisiae.

Ma S, Kemmeren P, Gresham D, Statnikov A. Ma S, et al. Among authors: statnikov a. PLoS One. 2014 Sep 12;9(9):e106479. doi: 10.1371/journal.pone.0106479. eCollection 2014. PLoS One. 2014. PMID: 25215507 Free PMC article.

6

Computational Methods for Unraveling Temporal Brain Connectivity Data.

Ray B, Statnikov A, Aliferis C. Ray B, et al. Among authors: statnikov a. AMIA Annu Symp Proc. 2015 Nov 5;2015:2043-52. eCollection 2015. AMIA Annu Symp Proc. 2015. PMID: 26958304 Free PMC article.

7

Analysis and computational dissection of molecular signature multiplicity.

Statnikov A, Aliferis CF. Statnikov A, et al. PLoS Comput Biol. 2010 May 20;6(5):e1000790. doi: 10.1371/journal.pcbi.1000790. PLoS Comput Biol. 2010. PMID: 20502670 Free PMC article.

8

Expanding the understanding of biases in development of clinical-grade molecular signatures: a case study in acute respiratory viral infections.

Lytkin NI, McVoy L, Weitkamp JH, Aliferis CF, Statnikov A. Lytkin NI, et al. Among authors: statnikov a. PLoS One. 2011;6(6):e20662. doi: 10.1371/journal.pone.0020662. Epub 2011 Jun 1. PLoS One. 2011. PMID: 21673802 Free PMC article.

9

Microbiomic signatures of psoriasis: feasibility and methodology comparison.

Statnikov A, Alekseyenko AV, Li Z, Henaff M, Perez-Perez GI, Blaser MJ, Aliferis CF. Statnikov A, et al. Sci Rep. 2013;3:2620. doi: 10.1038/srep02620. Sci Rep. 2013. PMID: 24018484 Free PMC article.

10

A comprehensive evaluation of multicategory classification methods for microbiomic data.

Statnikov A, Henaff M, Narendra V, Konganti K, Li Z, Yang L, Pei Z, Blaser MJ, Aliferis CF, Alekseyenko AV. Statnikov A, et al. Microbiome. 2013 Apr 5;1(1):11. doi: 10.1186/2049-2618-1-11. Microbiome. 2013. PMID: 24456583 Free PMC article.

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