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Items: 11

1.

Integrative genomic deconvolution of rheumatoid arthritis GWAS loci into gene and cell type associations.

Walsh AM, Whitaker JW, Huang CC, Cherkas Y, Lamberth SL, Brodmerkel C, Curran ME, Dobrin R.

Genome Biol. 2016 Apr 30;17:79. doi: 10.1186/s13059-016-0948-6.

2.

Direct Imaging of Hippocampal Epileptiform Calcium Motifs Following Kainic Acid Administration in Freely Behaving Mice.

Berdyyeva TK, Frady EP, Nassi JJ, Aluisio L, Cherkas Y, Otte S, Wyatt RM, Dugovic C, Ghosh KK, Schnitzer MJ, Lovenberg T, Bonaventure P.

Front Neurosci. 2016 Feb 29;10:53. doi: 10.3389/fnins.2016.00053. eCollection 2016.

3.

Group-based variant calling leveraging next-generation supercomputing for large-scale whole-genome sequencing studies.

Standish KA, Carland TM, Lockwood GK, Pfeiffer W, Tatineni M, Huang CC, Lamberth S, Cherkas Y, Brodmerkel C, Jaeger E, Smith L, Rajagopal G, Curran ME, Schork NJ.

BMC Bioinformatics. 2015 Sep 22;16:304. doi: 10.1186/s12859-015-0736-4.

4.

Rare variant collapsing in conjunction with mean log p-value and gradient boosting approaches applied to Genetic Analysis Workshop 17 data.

Cherkas Y, Raghavan N, Francke S, Defalco F, Wilcox MA.

BMC Proc. 2011 Nov 29;5 Suppl 9:S94. doi: 10.1186/1753-6561-5-S9-S94. Epub 2011 Nov 29.

5.

Localized hippocampus measures are associated with Alzheimer pathology and cognition independent of total hippocampal volume.

Carmichael O, Xie J, Fletcher E, Singh B, DeCarli C; Alzheimer's Disease Neuroimaging Initiative.

Neurobiol Aging. 2012 Jun;33(6):1124.e31-41. doi: 10.1016/j.neurobiolaging.2011.08.016. Epub 2011 Dec 14.

6.

Detecting global and local hippocampal shape changes in Alzheimer's disease using statistical shape models.

Shen KK, Fripp J, Mériaudeau F, Chételat G, Salvado O, Bourgeat P; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2012 Feb 1;59(3):2155-66. doi: 10.1016/j.neuroimage.2011.10.014. Epub 2011 Oct 14.

PMID:
22037419
7.

Individual subject classification for Alzheimer's disease based on incremental learning using a spatial frequency representation of cortical thickness data.

Cho Y, Seong JK, Jeong Y, Shin SY; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2012 Feb 1;59(3):2217-30. doi: 10.1016/j.neuroimage.2011.09.085. Epub 2011 Oct 8.

PMID:
22008371
8.

BEaST: brain extraction based on nonlocal segmentation technique.

Eskildsen SF, Coupé P, Fonov V, Manjón JV, Leung KK, Guizard N, Wassef SN, Østergaard LR, Collins DL; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2012 Feb 1;59(3):2362-73. doi: 10.1016/j.neuroimage.2011.09.012. Epub 2011 Sep 16.

9.

Mild cognitive impairment: baseline and longitudinal structural MR imaging measures improve predictive prognosis.

McEvoy LK, Holland D, Hagler DJ Jr, Fennema-Notestine C, Brewer JB, Dale AM; Alzheimer's Disease Neuroimaging Initiative.

Radiology. 2011 Jun;259(3):834-43. doi: 10.1148/radiol.11101975. Epub 2011 Apr 6.

10.

Using CSF biomarkers to replicate genetic associations in Alzheimer's disease.

Schott JM; ADNI Investigators.

Neurobiol Aging. 2012 Jul;33(7):1486.e9-15. doi: 10.1016/j.neurobiolaging.2011.02.008. Epub 2011 Apr 3.

11.

Spatial patterns of brain amyloid-beta burden and atrophy rate associations in mild cognitive impairment.

Tosun D, Schuff N, Mathis CA, Jagust W, Weiner MW; Alzheimer's Disease NeuroImaging Initiative.

Brain. 2011 Apr;134(Pt 4):1077-88. doi: 10.1093/brain/awr044. Epub 2011 Mar 22.

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