Xiongwen Quan

Molecular Biology · 2019

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

Subfields

Whom Xiongwen Quan trusts overall

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

  1. Tianqi Chen
  2. John Hartigan

Papers from Xiongwen Quan's perspective

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

  1. On the importance of initialization and momentum in deep learning
  2. XGBoost: A Scalable Tree Boosting System
  3. Scikit-learn: Machine Learning in Python
  4. How to infer gene networks from expression profiles (Molecular Systems Biology)
  5. Gene Expression Omnibus: NCBI gene expression and hybridization array data repository (Nucleic Acids Res.)
  6. The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease
  7. Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer. (The Lancet)
  8. A k-means clustering algorithm
  9. Gene expression inference with deep learning
  10. ImageNet classification with deep convolutional neural networks

Their papers