Difference between revisions of "Biclustering"
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|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
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| − | [ | + | [https://www.youtube.com/results?search_query=Biclustering+Clustering YouTube search...] |
| − | [ | + | [https://www.google.com/search?q=Biclustering+Clustering ...Google search] |
* [[Clustering]] | * [[Clustering]] | ||
| − | * [ | + | * [https://en.wikipedia.org/wiki/Biclustering Wikipedia] |
| − | * [ | + | * [https://academic.oup.com/bib/advance-article/doi/10.1093/bib/bby014/4911545 It is time to apply biclustering: a comprehensive review of biclustering applications in biological and biomedical data | J. Xie, A. Ma, A. Fennell, Q. Ma, J. Zhao - Oxford Academic] |
Finds in matrix subgroups of rows and columns which are as similar as possible to each other and as different as possible to the remaining data points; data mining technique that allows clustering of rows and columns, simultaneously, in a matrix-format data set | Finds in matrix subgroups of rows and columns which are as similar as possible to each other and as different as possible to the remaining data points; data mining technique that allows clustering of rows and columns, simultaneously, in a matrix-format data set | ||
| − | + | https://girke.bioinformatics.ucr.edu/GEN242/pages/mydoc/Rclustering_files/biclust.png | |
<youtube>jorthmzuyTc</youtube> | <youtube>jorthmzuyTc</youtube> | ||
<youtube>mEoUiVIkxVc</youtube> | <youtube>mEoUiVIkxVc</youtube> | ||
Latest revision as of 03:16, 28 March 2023
YouTube search... ...Google search
- Clustering
- Wikipedia
- It is time to apply biclustering: a comprehensive review of biclustering applications in biological and biomedical data | J. Xie, A. Ma, A. Fennell, Q. Ma, J. Zhao - Oxford Academic
Finds in matrix subgroups of rows and columns which are as similar as possible to each other and as different as possible to the remaining data points; data mining technique that allows clustering of rows and columns, simultaneously, in a matrix-format data set
