CLICK and EXPANDER: a system for clustering and visualizing gene expression data

By Roded Sharan, Adi Maron-Katz, Ron Shamir. Bioinform., 2003

395 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/92f68cc85697ea9abce91de6af4bd84a5cbdb477

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Danzhi Huang
2. Richard A. Lempicki
3. Brad T. Sherman
4. Robert M. Stephens
5. Uri Ben‐David
6. Kathrin Plath
7. N. Benvenisty
8. Balázs Győrffy

Citations in the corpus

• Proteomic analysis of a eukaryotic cilium (2005, neutral): “Cluster analysis was performed with Expander (Sharan et al., 2003).”
• Identification and classification of chromosomal aberrations in human induced pluripotent stem cells. (2010, methodology): “In the first test, overexpressed genes were determined for each sample (>1.5 fold, relative to the median) and then subjected to location enrichment analysis, using two gene expression analysis software: Expander (Sharan et al., 2003) and EASE (Hosack et al., 2003).”
• The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene lists (2007, background): “A number of publicly available bioinformatics tools have addressed the first three points above, including, but not limited to, GoMiner, DAVID, EASE, GOstat, Onto-express, GoToolBox, FatiGO, GOSSIP, GFINDer, GOBar, and so on [1-25].”