Vân Anh Huynh-Thu

Molecular Biology · 2010–2017

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 67 citations into it; #9,507 of 17,773 by trust here, #6,028 by citations
• Artificial Intelligence — 9 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Vân Anh Huynh-Thu trusts overall

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

1. Nir Friedman
2. Patrick E. Meyer
3. Daniel Marbach
4. Nicolai Meinshausen
5. Atul J. Butte
6. Pierre Geurts
7. Frédéric Lafitte
8. Adam A. Margolin
9. Peter Buhlmann
10. Thomas Schaffter

Who trusts Vân Anh Huynh-Thu overall

1. Gilles Louppe
2. Oscar Franzén
3. Wenxu Wang
4. Anne-Claire Haury
5. Diviyan Kalainathan
6. Hao Guo
7. Sipko van Dam
8. Ashwin Belle
9. Karoline Faust
10. Daniel Marbach

Papers from Vân Anh Huynh-Thu's perspective

Ordered by how strongly the researchers Vân Anh Huynh-Thu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gene Ontology: tool for the unification of biology
2. Using Bayesian Networks to Analyze Expression Data (Annual International Conference on Research in Computational Molecular Biology)
3. Mutual information relevance networks: functional genomic clustering using pairwise entropy measurements.
4. High-dimensional graphs and variable selection with the Lasso
5. Generating Realistic In Silico Gene Networks for Performance Assessment of Reverse Engineering Methods (J. Comput. Biol.)
6. How to infer gene networks from expression profiles (Molecular Systems Biology)
7. Inferring Genetic Networks and Identifying Compound Mode of Action via Expression Profiling (Science)
8. Greedy function approximation: A gradient boosting machine.
9. Droplet barcoding for single cell transcriptomics applied to embryonic stem cells (Cell)
10. Information-Theoretic Inference of Large Transcriptional Regulatory Networks (EURASIP J. Bioinform. Syst. Biol.)

Their papers

• SCENIC: Single-cell regulatory network inference and clustering (2017) — 5,132 citations
• Inferring Regulatory Networks from Expression Data Using Tree-Based Methods (2010) — 2,004 citations