Gao Wang
Genetics · 2016–2021
A researcher in the Science corpus: 6 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 145 citations into it
- Molecular Biology — 114 citations into it
- Statistics and Probability — 35 citations into it
- Artificial Intelligence — 17 citations into it
- Statistical Learning Theory — 5 citations into it
Whom Gao Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Tibshirani
- Nicolai Meinshausen
- Jerome H. Friedman
- Trevor J. Hastie
- Jeffrey T. Leek
- Hugh A. Chipman
- Daniel J. Schaid
- Jian Huang
- Matthew Stephens
- Christian Benner
Who trusts Gao Wang overall
Papers from Gao Wang's perspective
Ordered by how strongly the researchers Gao Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- The Elements of Statistical Learning
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Model selection and estimation in regression with grouped variables
- Estimating the Dimension of a Model
- Addendum: Regularization and variable selection via the elastic net
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
Their papers
- Genetic effects on gene expression across human tissues (2017) — 3,717 citations
- The GTEx Consortium atlas of genetic regulatory effects across human tissues (2019) — 4,770 citations
- A simple new approach to variable selection in regression, with application to genetic fine mapping (2018) — 988 citations
- Widespread dose-dependent effects of RNA expression and splicing on complex diseases and traits (2019) — 116 citations
- Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics (2016) — 1,036 citations
- Fine-mapping from summary data with the “Sum of Single Effects” model (2021) — 321 citations