Ramón Díaz-Uriarte

Molecular Biology · 2004–2006

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 69 researchers here, as inferred from the citation graph.

Subfields

Whom Ramón Díaz-Uriarte trusts overall

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

  1. Yoav Benjamini
  2. Leo Breiman
  3. D. Yekutieli
  4. Anat Reiner
  5. Mark D. Robinson
  6. Eric R. Ziegel
  7. Y. Hochberg

Who trusts Ramón Díaz-Uriarte overall

  1. Miron Bartosz Kursa
  2. Hemant Ishwaran
  3. Alexander R. Statnikov
  4. Houtao Deng
  5. Mahesh Pal
  6. Kellie J. Archer
  7. Piyushkumar A. Mundra
  8. Zena M. Hira
  9. Hristos Tyralis
  10. Baptiste Gregorutti

Papers from Ramón Díaz-Uriarte's perspective

Ordered by how strongly the researchers Ramón Díaz-Uriarte trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  2. THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY
  3. A literature network of human genes for high-throughput analysis of gene expression (Nature Genetics)
  4. Identifying differentially expressed genes using false discovery rate controlling procedures (Bioinform.)
  5. From patterns to pathways: gene expression data analysis comes of age (Nature Genetics)
  6. FunSpec: a web-based cluster interpreter for yeast (BMC Bioinformatics)
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. ImageNet classification with deep convolutional neural networks
  9. Gradient-based learning applied to document recognition
  10. The Nature of Statistical Learning Theory

Their papers