Sara Cordeiro Madeira
Molecular Biology · 2004–2010
A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 22 citations into it; #2,960 of 17,773 by trust here, #8,791 by citations
- Artificial Intelligence — 6 citations into it
Whom Sara Cordeiro Madeira trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Inderjit S. Dhillon
- Gad Getz
- Amos Tanay
- Jochen Hipp
- Roded Sharan
- Erel Levine
- Ulrich Güntzer
- Ron Shamir
- Eytan Domany
- G. Nakhaeizadeh
Who trusts Sara Cordeiro Madeira overall
- Lei Tang
- Riet De Smet
- Hans-Peter Kriegel
- Jun Yang
- Pauli Miettinen
- Yao Ming
- Huan Liu
- Miguel C. Teixeira
- Kathleen Marchal
- Julia Handl
Papers from Sara Cordeiro Madeira's perspective
Ordered by how strongly the researchers Sara Cordeiro Madeira trusts endorse each paper. Same corpus, a different order for every researcher.
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Coupled two-way clustering analysis of gene microarray data. (Proceedings of the National Academy of Sciences of the United States of America)
- Gene Ontology: tool for the unification of biology
- Co-clustering documents and words using bipartite spectral graph partitioning (Knowledge Discovery and Data Mining)
- Biclustering algorithms for biological data analysis: a survey (IEEE/ACM Transactions on Computational Biology & Bioinformatics)
- THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY
- KEGG for linking genomes to life and the environment (Nucleic Acids Res.)
- FatiGO: a web tool for finding significant associations of Gene Ontology terms with groups of genes (Bioinform.)
- GENECODIS: a web-based tool for finding significant concurrent annotations in gene lists (Genome Biology)
- Discovering statistically significant biclusters in gene expression data (Intelligent Systems in Molecular Biology)