Cluster validation techniques for genome expression data

By Nadia Bolshakova, Francisco Javier Azuaje. Signal Processing, 2003

357 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/b3961db8f123a5e2456b9900245b9e4d99c4a125

How researchers see this paper

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

In Computer Vision and Pattern Recognition

1. Pedro Contreras
2. Douglas B. Kell
3. Joshua D. Knowles
4. Fionn Murtagh
5. Julia Handl

In Molecular Biology

1. Douglas B. Kell
2. Julia Handl
3. Joshua D. Knowles
4. Pedro Contreras
5. Fionn Murtagh
6. David Broadhurst
7. A. Chaimani
8. José Ruiz-Shulcloper

Citations in the corpus

• Algorithms for hierarchical clustering: an overview, II (2017, background): “,(79) and Bolshakova and Azuaje.(80) Another interesting study is Albatineh et al.”
• Computational cluster validation in post-genomic data analysis (2005, methodology): “This type of use in model selection has been the most common application of internal validation measures in bioinformatics (Bolshakova and Azuaje, 2003; Bolshakova et al ., 2005; Fridlyand and Dudoit, 2001; Lange et al ., 2004; Tibshirani et al ., 2001b), yet, their more broad applicability in the…”