GenePattern 2.0
By Michael Reich, T. Liefeld, Joshua Gould, Jim Lerner, Pablo Tamayo, Jill P. Mesirov. Nature Genetics, 2006
1,997 citations recorded by the source corpus.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/e2754906866f844ae2edd89bb8a09d96b2d12ca9
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
- David S. Wishart
- Jianguo Xia
- Igor Sinelnikov
- Eric S. Lander
- Jian Peng
- R. Mandal
- David Broadhurst
- Scott L. Carter
Citations in the corpus
- CuMiDa: An Extensively Curated Microarray Database for Benchmarking and Testing of Machine Learning Approaches in Cancer Research (2019, methodology): “Since then, the use of microarray data in ML and Bioinformatics became commonplace.”
- Efficient and rapid generation of induced pluripotent stem cells from human keratinocytes (2008, methodology): “44 were considered to be not expressed and marked as 0 and then clustered using a Pearson correlation as a distance measure and using pairwise complete linkage, as implemented in GenePatter”
- BIOINFORMATICS ORIGINAL PAPER (neutral): “Web-based user interfaces, such as the ), GenePattern (Reich et al. , 2006), MOWServ (Navas-Delgado al.”