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K-means : genes of 4 clusters
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创建时间：
2022-07-13
相关数据集
RSeqFlow-OlivePollen10 - OE-kmeans.zip: Enrichment results for k-means clusters.
A compressed file containing the biological processes and KEGG pathways for each of the three clusters obtained using k -means as tab separated lists. Columns in each file are the same as in R
Figshare2023-08-04 更新50
Additional file 1 of scSTEM: clustering pseudotime ordered single-cell data
Additional file 1. Gene cluster sizes, profile sizes, and p-values for each combination of trajectory inference method and gene summarization metric; Number of NK cell markers for the clusters present
Figshare2024-02-19 更新30
Observed adjusted Rand index x100 between the methods for the partitions found setting K = 10 clusters in the data set with mean gene expressions in two days.
Observed adjusted Rand index x100 between the methods for the partitions found setting K = 10 clusters in the data set with mean gene expressions in two days.
Figshare2024-11-25 更新30
Consensus clustering of gene expression microarray data using genetic algorithms
This work presents a new consensus clustering method for gene expression microarray data based on a genetic algorithm. Using two datasets - DA and DB - as input, the genetic algorithm examines putativ
DataCite Commons2026-02-12 更新50
