Krakovska O - Search Results

1

Performance comparison of linear and non-linear feature selection methods for the analysis of large survey datasets.

Krakovska O, Christie G, Sixsmith A, Ester M, Moreno S. Krakovska O, et al. PLoS One. 2019 Mar 21;14(3):e0213584. doi: 10.1371/journal.pone.0213584. eCollection 2019. PLoS One. 2019. PMID: 30897097 Free PMC article.

2

Healthy memory aging - the benefits of regular daily activities increase with age.

Krakovska O, Christie GJ, Farzan F, Sixsmith A, Ester M, Moreno S. Krakovska O, et al. Aging (Albany NY). 2021 Dec 16;13(24):25643-25652. doi: 10.18632/aging.203753. Epub 2021 Dec 16. Aging (Albany NY). 2021. PMID: 34915450 Free PMC article.

3

Confounding effects of phase delays on causality estimation.

Vakorin VA, Mišić B, Krakovska O, Bezgin G, McIntosh AR. Vakorin VA, et al. Among authors: krakovska o. PLoS One. 2013;8(1):e53588. doi: 10.1371/journal.pone.0053588. Epub 2013 Jan 21. PLoS One. 2013. PMID: 23349720 Free PMC article.

4

Exploring age-related changes in dynamical non-stationarity in electroencephalographic signals during early adolescence.

Vakorin VA, McIntosh AR, Mišić B, Krakovska O, Poulsen C, Martinu K, Paus T. Vakorin VA, et al. Among authors: krakovska o. PLoS One. 2013;8(3):e57217. doi: 10.1371/journal.pone.0057217. Epub 2013 Mar 14. PLoS One. 2013. PMID: 23516400 Free PMC article.

5

Confounding effects of indirect connections on causality estimation.

Vakorin VA, Krakovska OA, McIntosh AR. Vakorin VA, et al. J Neurosci Methods. 2009 Oct 30;184(1):152-60. doi: 10.1016/j.jneumeth.2009.07.014. Epub 2009 Jul 21. J Neurosci Methods. 2009. PMID: 19628006

6

Complexity analysis of source activity underlying the neuromagnetic somatosensory steady-state response.

Vakorin VA, Ross B, Krakovska O, Bardouille T, Cheyne D, McIntosh AR. Vakorin VA, et al. Among authors: krakovska o. Neuroimage. 2010 May 15;51(1):83-90. doi: 10.1016/j.neuroimage.2010.01.100. Epub 2010 Feb 2. Neuroimage. 2010. PMID: 20132893

7

Empirical and theoretical aspects of generation and transfer of information in a neuromagnetic source network.

Vakorin VA, Mišić B, Krakovska O, McIntosh AR. Vakorin VA, et al. Among authors: krakovska o. Front Syst Neurosci. 2011 Nov 23;5:96. doi: 10.3389/fnsys.2011.00096. eCollection 2011. Front Syst Neurosci. 2011. PMID: 22131968 Free PMC article.

8

Identification of novel molecular targets for endometrial cancer using a drill-down LC-MS/MS approach with iTRAQ.

Voisin SN, Krakovska O, Matta A, DeSouza LV, Romaschin AD, Colgan TJ, Siu KW. Voisin SN, et al. Among authors: krakovska o. PLoS One. 2011 Jan 31;6(1):e16352. doi: 10.1371/journal.pone.0016352. PLoS One. 2011. PMID: 21305022 Free PMC article.

9

mTRAQ-based quantification of potential endometrial carcinoma biomarkers from archived formalin-fixed paraffin-embedded tissues.

DeSouza LV, Krakovska O, Darfler MM, Krizman DB, Romaschin AD, Colgan TJ, Siu KW. DeSouza LV, et al. Among authors: krakovska o. Proteomics. 2010 Sep;10(17):3108-16. doi: 10.1002/pmic.201000082. Proteomics. 2010. PMID: 20661955

10

Quantitative proteomic analysis in metastatic renal cell carcinoma reveals a unique set of proteins with potential prognostic significance.

Masui O, White NM, DeSouza LV, Krakovska O, Matta A, Metias S, Khalil B, Romaschin AD, Honey RJ, Stewart R, Pace K, Bjarnason GA, Siu KW, Yousef GM. Masui O, et al. Among authors: krakovska o. Mol Cell Proteomics. 2013 Jan;12(1):132-44. doi: 10.1074/mcp.M112.020701. Epub 2012 Oct 17. Mol Cell Proteomics. 2013. PMID: 23082029 Free PMC article.

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