Juliane Schäfer
Molecular Biology · 2005–2011
A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 58 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 25 citations into it; #509 of 17,773 by trust here, #6,216 by citations
- Statistics and Probability — 18 citations into it
- Artificial Intelligence — 10 citations into it; #10,188 of 35,345 by trust here, #18,586 by citations
- Management Science and Operations Research — 6 citations into it
Whom Juliane Schäfer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bradley Efron
- John D. Storey
- Yoav Benjamini
- Eric R. Ziegel
- Y. Hochberg
- Olivier Ledoit
- Robert Tibshirani
- Albert-László Barabási
- Nicolai Meinshausen
- Nir Friedman
Who trusts Juliane Schäfer overall
- Jean Hausser
- Korbinian Strimmer
- Seongho Kim
- Aliaksandr Siarohin
- Jie Peng
- Olivier Ledoit
- Florian Markowetz
- Arthur Tenenhaus
- Jianqing Fan
- Shanika L. Wickramasuriya
Papers from Juliane Schäfer's perspective
Ordered by how strongly the researchers Juliane Schäfer trusts endorse each paper. Same corpus, a different order for every researcher.
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- The Elements of Statistical Learning
- High-dimensional graphs and variable selection with the Lasso
- Statistical significance for genomewide studies (Proceedings of the National Academy of Sciences of the United States of America)
- Empirical Bayes Analysis of a Microarray Experiment
- Using Bayesian Networks to Analyze Expression Data (Annual International Conference on Research in Computational Molecular Biology)
- Estimating the Dimension of a Model
- Bagging Predictors
- THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY
- Regression Shrinkage and Selection via the Lasso