Narayan VA - Search Results

1

Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data.

Ye J, Farnum M, Yang E, Verbeeck R, Lobanov V, Raghavan N, Novak G, DiBernardo A, Narayan VA; Alzheimer’s Disease Neuroimaging Initiative. Ye J, et al. Among authors: narayan va. BMC Neurol. 2012 Jun 25;12:46. doi: 10.1186/1471-2377-12-46. BMC Neurol. 2012. PMID: 22731740 Free PMC article.

2

Modeling disease progression via multi-task learning.

Zhou J, Liu J, Narayan VA, Ye J; Alzheimer's Disease Neuroimaging Initiative. Zhou J, et al. Among authors: narayan va. Neuroimage. 2013 Sep;78:233-48. doi: 10.1016/j.neuroimage.2013.03.073. Epub 2013 Apr 12. Neuroimage. 2013. PMID: 23583359

3

Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data.

Yuan L, Wang Y, Thompson PM, Narayan VA, Ye J; Alzheimer's Disease Neuroimaging Initiative. Yuan L, et al. Among authors: narayan va. Neuroimage. 2012 Jul 2;61(3):622-32. doi: 10.1016/j.neuroimage.2012.03.059. Epub 2012 Mar 29. Neuroimage. 2012. PMID: 22498655 Free PMC article.

4

Sparse generalized functional linear model for predicting remission status of depression patients.

Liu Y, Nie Z, Zhou J, Farnum M, Narayan VA, Wittenberg G, Ye J. Liu Y, et al. Among authors: narayan va. Pac Symp Biocomput. 2014:364-75. Pac Symp Biocomput. 2014. PMID: 24297562 Free PMC article.

5

Modeling Disease Progression via Fused Sparse Group Lasso.

Zhou J, Liu J, Narayan VA, Ye J. Zhou J, et al. Among authors: narayan va. KDD. 2012;2012:1095-1103. doi: 10.1145/2339530.2339702. KDD. 2012. PMID: 25309808 Free PMC article.

6

Disease progression model in subjects with mild cognitive impairment from the Alzheimer's disease neuroimaging initiative: CSF biomarkers predict population subtypes.

Samtani MN, Raghavan N, Shi Y, Novak G, Farnum M, Lobanov V, Schultz T, Yang E, DiBernardo A, Narayan VA; Alzheimer's Disease Neuroimaging Initiative. Samtani MN, et al. Among authors: narayan va. Br J Clin Pharmacol. 2013 Jan;75(1):146-61. doi: 10.1111/j.1365-2125.2012.04308.x. Br J Clin Pharmacol. 2013. PMID: 22534009 Free PMC article.

7

Multi-Source Learning for Joint Analysis of Incomplete Multi-Modality Neuroimaging Data.

Yuan L, Wang Y, Thompson PM, Narayan VA, Ye J. Yuan L, et al. Among authors: narayan va. KDD. 2012:1149-1157. doi: 10.1145/2339530.2339710. KDD. 2012. PMID: 24014189 Free PMC article.

8

Metabolomic biosignature differentiates melancholic depressive patients from healthy controls.

Liu Y, Yieh L, Yang T, Drinkenburg W, Peeters P, Steckler T, Narayan VA, Wittenberg G, Ye J. Liu Y, et al. Among authors: narayan va. BMC Genomics. 2016 Aug 23;17(1):669. doi: 10.1186/s12864-016-2953-2. BMC Genomics. 2016. PMID: 27549765 Free PMC article.

9

Melancholic depression prediction by identifying representative features in metabolic and microarray profiles with missing values.

Nie Z, Yang T, Liu Y, Li Q, Narayan VA, Wittenberg G, Ye J. Nie Z, et al. Among authors: narayan va. Pac Symp Biocomput. 2015:455-66. Pac Symp Biocomput. 2015. PMID: 25592604 Free PMC article.

10

Novel Statistically-Derived Composite Measures for Assessing the Efficacy of Disease-Modifying Therapies in Prodromal Alzheimer's Disease Trials: An AIBL Study.

Burnham SC, Raghavan N, Wilson W, Baker D, Ropacki MT, Novak G, Ames D, Ellis K, Martins RN, Maruff P, Masters CL, Romano G, Rowe CC, Savage G, Macaulay SL, Narayan VA; Alzheimer’s Disease Neuroimaging Initiative; AIBL Research Group. Burnham SC, et al. Among authors: narayan va. J Alzheimers Dis. 2015;46(4):1079-89. doi: 10.3233/JAD-143015. J Alzheimers Dis. 2015. PMID: 26402634

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