Questions tagged [clustering]

Clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense) to each other than to those in other groups (clusters).

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How are the values of prop.part() and prop.clades() calculated?

Consider the following dataset: ...
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Is it possible to cluster a sc-RNAseq expression matrix with weighting or embedding?

I have an RNAseq mouse retina gene expression matrix(24659,49300) to cluster effectively. Here is a sample(7,4): ...
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How to extract clusters from a phylogenetic tree?

I am using Biopython Phylo and RDkit Cluster to obtain a UPGMA tree from a distance matrix of 5k x 5k entries. How can I extract clustered entry names given a number of clusters? For example, Bio....
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Clustering issue about overlapping CD4, CD8, and Foxp3 genes in mouse tumor models

bioinformatics scientists. I hope your work goes smoothly well and be safe. I'm stuck in trouble at the step of clustering. Briefly, I downloaded fastq files from a published study (https://www.ncbi....
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Understanding BuildClusterTree of Seurat

I am trying to understand how to use BuildClusterTree of Seurat to understand the relationship between clusters. Being from neither a bioinformatics or statistical ...
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1 vote
2 answers
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Assigning subcluster idents to original object

I have a scRNA-seq Seurat object I've analyzed, and I noticed that for some of the clusters, there's more than one cell type. I've created a subset which and run FindClusters again to label the cell ...
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NMF - Subscript out of bounds

I've calculated the cophenetic coefficients for the NMF of gene expression data, but is giving error when performing the clustering information step as given below: ...
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General Question: Statistical Alternatives to Oncoprint

I am a computational genomics student who has recently joined a research lab as an RA. We often work with oncoprints (comuts/heatmaps), and we visualize molecular signatures by reorganizing the comut. ...
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1 answer
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Clustering with Seurat

My data consists of two groups control and stim. I'm concerned that my clustering in the stim group is dominated by the unregulated genes. I can remove these genes and recluster but is there a way to ...
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How to use CD-HIT to filter protein sequences dataset by certain similarity threshold?

I am looking at using CD-HIT to efficiently filter my protein sequences dataset by a similarity threshold of 70% (cut-off). More precisely, what I want to achieve is that for all the remaining ...
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Clusters in scRNA of Glioblastoma

There is a scRNA dataset on Glioblastoma from 10xgenomics. Unfortunately, there seems to be no research paper related to that data. Question 0 : May be there is paper ? How to find it ? I am not ...
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What is the best approach to classify a patient cohort by the expression (low, int, high) of a single gene of interest?

I am working with a dataset of nearly 100 patients. I performed Salmon quantification with genecodeV34 and imported the results with tximeta. I normalised the TPM salmon output with TPM (using edgeR, ...
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vst() from DESeq2 vs voom() from limma

I have used both to transform my leukaemia RNA-Seq data for subsequent hierarchical clustering. The result is quite different. Some subtypes of leukaemia only form a cluster (or at least sit closer) ...
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Error using bseqsc

I will be very grateful for any hint on how to overcome the error. I wish to deconvolve my bulk RNA seq data obtained from the lungs of mice using single cell RNA seq data. For practice, I am ...
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How to write the subclusters in file?

I have constructed a gene co-expression network from RNA-seq data. The network file is in edge list format of memory around 1gb which was created by calculating Pearson correlation of each gene pairs ...
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GBS: clustering of PCoA axes with R package mclust to describe identity by missingness

I have a SNP dataset with 56 populations and 430 samples that was produced by GBS sequencing. I need to identify groups of samples that have similar patterns of genotype missingness, since there is ...
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How to create a dendrogram of clusters and reconstruct phylogenetic relationship

I'm working with a Daphnia data set looking at the 16s gene pulled from the BOLD database. So far I did a multiple sequence alignment and attempted to cluster and plot a dendrogram: ...
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case/control phenotype prediction - population stratification with R

I'm struggling these last days on a case/control phenotype prediction problem based on genotype (individual x SNPs with more than 10k individuals and approx 18k SNPs encoded as 0,1,2). Thanks to PCA ...
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Can I use a benchmark to choose a clustering or module detection method for a gene dataset?

The paper A comprehensive evaluation of module detection methods for gene expression data says that: "We first want to provide an overview of the characteristics and performance of current module ...
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which marker identifications method is recommended when single-nuclei RNA seq datasets are integrated across regions

I'm analyzing Sn-RNA seq datasets which include different brain regions and spinal cord in patients and normal controls. I would have different comparison within and between individuals. I've got a ...
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3 answers
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RNAseq biological replicates not clustering in PCA plots

I have RNAseq data from 4 samples with 3 biological replicates per sample. I am currently trying to do the differential expression analysis with DESeq2 but the biological replicates will not cluster ...
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2 answers
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What kind of analysis is practically done on GSE data files?

I have a GSE data file in csv file format containing fields such as: ID, adj.P.Val, P.Value, t, B, logFC, Gene.symbol, Gene.title. In which adj.P.Val, P.Value, t, B, logFC fields being numeric. What ...
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Comparing between different set of clusters produced from the same network

I have a set of eight gene clusters which I obtained from clustering a network. However, I had to update the genes in the network at a later stage which lead to certain deletions (genes not present in ...
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