Weigong Ge

Molecular Biology · 2010–2015

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 47 citations into it

Whom Weigong Ge trusts

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

1. Robert C. Edgar (in Molecular Biology)

Papers from Weigong Ge's perspective

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

1. Latent Dirichlet Allocation
2. Finding scientific topics
3. Modeling annotated data
4. Unsupervised Learning by Probabilistic Latent Semantic Analysis
5. Mixed Membership Stochastic Blockmodels
6. A Mathematical Theory of Communication
7. MUSCLE: multiple sequence alignment with high accuracy and high throughput.
8. A side effect resource to capture phenotypic effects of drugs
9. Critical review of published microarray studies for cancer outcome and guidelines on statistical analysis and reporting. (Journal of the National Cancer Institute)
10. Prediction of survival in follicular lymphoma based on molecular features of tumor-infiltrating immune cells. (New England Journal of Medicine)

Their papers

• A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control consortium (2014) — 938 citations
• The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models (2010) — 549 citations
• A heuristic approach to determine an appropriate number of topics in topic modeling (2015) — 350 citations