Hongzhe Li

Molecular Biology · 2003–2016

A researcher in the Science corpus: 10 papers; trusts 36 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 80 citations into it; #1,255 of 17,773 by trust here, #2,408 by citations
• Statistics and Probability — 29 citations into it; #2,170 of 12,932 by trust here, #4,132 by citations
• Ecology — 24 citations into it
• Physiology — 23 citations into it
• Artificial Intelligence — 13 citations into it; #18,477 of 35,345 by trust here, #25,040 by citations
• Infectious Diseases — 10 citations into it
• Optimization & Training — 9 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Hongzhe Li trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Robert Tibshirani
2. Bradley Efron
3. Trevor J. Hastie
4. Chris Fraley
5. Gareth M. James
6. Eric Bair
7. Dimitri P. Bertsekas
8. Anna Vrabel
9. Marco Ramoni
10. Patrick J. Heagerty

Who trusts Hongzhe Li overall

1. Jelle J. Goeman
2. Anders Gorst-rasmussen
3. Jeng-Min Chiou
4. Heng Lian
5. Chenlei Leng
6. Yanni Zhu
7. Noah R. Simon
8. Ted Sandler
9. Wei Zhang
10. Weiwei Xu

Papers from Hongzhe Li's perspective

Ordered by how strongly the researchers Hongzhe Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. Regression Shrinkage and Selection via the Lasso
2. Estimating the Dimension of a Model
3. © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
4. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
5. A Practical Guide to Splines
6. On asymptotically optimal confidence regions and tests for high-dimensional models
7. The use of molecular profiling to predict survival after chemotherapy for diffuse large-B-cell lymphoma. (New England Journal of Medicine)
8. The Elements of Statistical Learning
9. Controlling the false discovery rate: a practical and powerful approach to multiple testing
10. Missing value estimation methods for DNA microarrays

Their papers

• Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data (2005) — 549 citations
• Linking Long-Term Dietary Patterns with Gut Microbial Enterotypes (2011) — 6,166 citations
• Group SCAD regression analysis for microarray time course gene expression data (2007) — 297 citations
• Network-constrained regularization and variable selection for analysis of genomic data (2008) — 520 citations
• Archaea and Fungi of the Human Gut Microbiome: Correlations with Diet and Bacterial Residents (2013) — 752 citations
• Clustering of time-course gene expression data using a mixed-effects model with B-splines (2003) — 405 citations
• Regression Analysis for Microbiome Compositional Data (2016) — 149 citations
• Power and sample-size estimation for microbiome studies using pairwise distances and PERMANOVA (2015) — 405 citations
• Variable selection in regression with compositional covariates (2014) — 251 citations
• Associating microbiome composition with environmental covariates using generalized UniFrac distances (2012) — 916 citations