Cathal Seoighe

Molecular Biology · 2008–2010

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Cathal Seoighe trusts overall

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

  1. Patrik O. Hoyer
  2. Karthik Devarajan
  3. Daniel D. Lee
  4. Hyunsoo Kim
  5. Christos Boutsidis
  6. S. Li
  7. Pablo Tamayo
  8. Jean-Philippe Brunet
  9. Stefano Monti
  10. Michael W. Berry

Who trusts Cathal Seoighe overall

  1. Zuguang Gu
  2. Francis Blokzijl
  3. D. Huebschmann

Papers from Cathal Seoighe's perspective

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

  1. Learning the parts of objects by non-negative matrix factorization
  2. Non-negative Matrix Factorization with Sparseness Constraints (Journal of machine learning research)
  3. Algorithms for Non-negative Matrix Factorization
  4. Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data (Machine-mediated learning)
  5. Metagenes and molecular pattern discovery using matrix factorization (Proceedings of the National Academy of Sciences of the United States of America)
  6. Learning spatially localized, parts-based representation (Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001)
  7. Improving molecular cancer class discovery through sparse non-negative matrix factorization (Bioinform.)
  8. Algorithms and applications for approximate nonnegative matrix factorization
  9. Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for microarray data analysis (Bioinform.)
  10. Nonsmooth nonnegative matrix factorization (nsNMF) (IEEE Transactions on Pattern Analysis and Machine Intelligence)

Their papers