Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • crazyhottommy
    Senior Member
    • Apr 2012
    • 187

    K-means clustering and heatmap

    Hi everyone,

    I was plotting a ChIP-seq data using the pheatmap, see code below:

    km<- kmeans(m1,2) # determin how many cluster you want, I specify 2 here

    m.kmeans<- cbind(m1, km$cluster) # combine the cluster with the matrix

    dim(m.kmeans)
    # [1] 903 602
    # the last column is 602
    o<- order(m.kmeans[,602]) # order the last column

    m.kmeans<- m.kmeans[o,] # order the matrix according to the order of the last column

    pheatmap( m.kmeans[,1:601], cluster_rows = F, cluster_cols = F, col= hmcols, breaks = bk, legend=FALSE, show_rownames=FALSE, show_colnames=FALSE)

    It works fine for me, I clustered the data to two groups by specifying K=2, the problem is that group 1 sometimes shows up in the upper part of the heatmap, sometimes it shows up in the bottom part of the figure if I plot it several times.

    I think it has to do with the assignment of the group number, say, the first group is assigned to 1, the other is assigned to 2. However, next time if you plot the same data, the first group assigned to 2, the other is assigned to 1. R randomly assigns the number to the groups.

    How can control this?

    Thank you every much!
  • JackieBadger
    Senior Member
    • Mar 2009
    • 385

    #2
    I have had the same issues using k-means clustering and discriminate analysis of principle components (DAPC) package. While I can't answer your question, the package has a help mailing list that may be able to provide a solution.

    Comment

    • jmw86069
      Member
      • Jun 2009
      • 31

      #3
      Easiest fix is to call set.seed(123); before you run k-means, and/or before you run pheatmap. Depends upon which step(s) you want to be reproducible. If it is just the order on the heatmap itself, where you're not re-running k-means, you can also precompute the row dendrogram and send it to pheatmap. Doing it that way may be better for you in the long run since it gives you more control over how the clustering is scored and linked. I recommend hcluster() from the amap package, it is much faster than default hclust, as fast as other competing hclust replacements, but also offers scoring by a few types of correlation.

      Comment

      • scyxr
        Junior Member
        • Sep 2012
        • 2

        #4
        The same issue for me all the time. How can we assign each cluster number such as cluster 1 ,cluster 2 into the heat map. Hopefully someones knowing about this could give us the help.
        Thx.

        Comment

        Latest Articles

        Collapse

        • SEQadmin2
          Proteomic Platforms: How to Choose the Right Analytical Strategy to Improve Detection and Clinical Applications
          by SEQadmin2


          Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.

          The systematic characterization of the human proteome has
          ...
          07-20-2026, 11:48 AM
        • SEQadmin2
          Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
          by SEQadmin2



          Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
          ...
          07-09-2026, 11:10 AM
        • SEQadmin2
          Cancer Drug Resistance: The Lingering Barrier to Rising Survival
          by SEQadmin2



          Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

          There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
          07-08-2026, 05:17 AM

        ad_right_rmr

        Collapse

        News

        Collapse

        Topics Statistics Last Post
        Started by SEQadmin2, 07-24-2026, 12:17 PM
        0 responses
        19 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 07-23-2026, 11:41 AM
        0 responses
        18 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 07-20-2026, 11:10 AM
        0 responses
        25 views
        0 reactions
        Last Post SEQadmin2  
        Started by SEQadmin2, 07-13-2026, 10:26 AM
        0 responses
        38 views
        0 reactions
        Last Post SEQadmin2  
        Working...