Shannon L. Risacher
Nature · 2010–2020
A researcher in the Science corpus: 9 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Shannon L. Risacher trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Shannon L. Risacher overall
Papers from Shannon L. Risacher's perspective
Ordered by how strongly the researchers Shannon L. Risacher trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Model selection and estimation in regression with grouped variables
- Bayesian learning for neural networks
- Exact Matrix Completion via Convex Optimization
- Statistical Learning Theory
- Measuring the thickness of the human cerebral cortex from magnetic resonance images. (Proceedings of the National Academy of Sciences of the United States of America)
- Voxel-based morphometry--the methods.
- Regularization Paths for Generalized Linear Models via Coordinate Descent
- A voxel-based morphometric study of ageing in 465 normal adult human brains (5th IEEE EMBS International Summer School on Biomedical Imaging, 2002.)
- The endophenotype concept in psychiatry: etymology and strategic intentions. (American Journal of Psychiatry)
Their papers
- Common genetic variants influence human subcortical brain structures (2015) — 868 citations
- Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort (2010) — 393 citations
- Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease (2012) — 77 citations
- Identifying Neuroimaging and Proteomic Biomarkers for MCI and AD via the Elastic Net (2011) — 60 citations
- The genetic architecture of the human cerebral cortex (2020) — 777 citations
- Altered Bile Acid Profile Associates with Cognitive Impairment in Alzheimer’s Disease – An Emerging Role for Gut Microbiome (2018) — 597 citations
- The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data (2014) — 790 citations
- High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction (2012) — 76 citations
- Sparse Multi-Task Regression and Feature Selection to Identify Brain Imaging Predictors for Memory Performance (2011) — 144 citations