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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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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4answers
104 views

Getting hierarchy of cell populations with Drop-seq data

I plan on collecting some drop-seq data from brain tissue (from mice and humans). Using only the 75-85% of genes that have 1:1 orthology between mice and humans, I'd like to cluster the cells by ...
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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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680 views

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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45 views

How to split a Seurat cluster in several subclusters?

I've analyzed my scRNA-seq data and have a couple of Seurat clusters that show more than one cell type in each cluster. (for example, cluster 9 shows both NK and CD4 cells) How can I split a cluster ...
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77 views

Positive marker and negative marker in scRNA-seq datasets

I am learning about the marker genes and clustering by Seurat in scRNA-seq datasets. However, I am confused about the term positive marker and negative marker. What I understand is the marker genes of ...
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1answer
58 views

Seurat clustering Methods-resolution parameter explanation

I am learning the Seurat algorithms to cluster the scRNA-seq datasets. I found this explanation, but am confused. Can someone explain it to me, "The FindClusters function implements the procedure,...
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119 views

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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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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3answers
125 views

In Seurat, how can I export cluster IDs to csv files

I am doing scRNAseq analysis with Seurat. I clustered the cells using the FindClusters() function. What I want to do is to export information about which cells belong to which clusters to a CSV file. ...
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22 views

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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44 views

NMF clustering not giving results

I'm trying to run the Non-Negative Matrix Factorization(NMF) for my Gene Expression dataset which was originally in matrix form. But it throws errors as given below: ...
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32 views

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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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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Functional similarity between 2 genes based on GO-tags

I need to evaluate the functional similarity or closeness of pairs of genes from Gene Ontology (GO) tags, and it is important that this similarity is not determined through sequence-similarity. I ...
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60 views

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

Consider the following dataset: ...
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1answer
170 views

sva for RNA-Seq data without known phenotype

I have been working on RNA-Seq data from two different cohorts, and they show very strong batch effect (~35% variance explained by 1st component in PCA). Since I am trying to do a class discovery from ...
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1answer
39 views

Find selective markers for one cluster automatically

I detected all markers for each cluster and checked 20 top markers for my clusters one by one. Is there any way that I figure out the selective markers automatically from all the clusters? For ...
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2answers
53 views

How do I install hammock?

I'm working with phage peptides libraries. Currently I'm analysing a massive data set from phage selection, NGS readout, preprocessed already (fasta file). I want to analyse the sequences to cluster ...
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1answer
316 views

Clustering information saved in Seurat object

Seurat V2 had a option to find clustering information saved in object: PrintFindClustersParams(object = pbmc). How can I get the same clustering parameters from objects in Seurat3? Do I need to ...
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1answer
110 views

How do I plot clusters based on DNA sequence alignment?

I have a group of about 1050 sequences that have been aligned using blastn. I am now trying to create a cluster plot of the sequences in order to identify similar sequences, something like this: ...
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1answer
95 views

How I know which gene is a good predictor in this neural network or not?

I have 25 highly differentially expressed genes among and patients to chemotherapy. I have made a neural network of these genes. The accuracy of the model is 0.73 ...
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20 views

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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1answer
29 views

Dataset showing evolution of gene

As a way to exemplify how the hierarchical clustering of particular DNA sequences can be used to derive phylogenetic trees, I'm looking for a (even very small) dataset of the same genes (or other ...
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1answer
78 views

Clustering RNAseq fold-change data

I have a dataset that looks something like this Treatment1 Treatment 2 Control Sample1 3.23. 0.87. 1 Sample2 1.71. 1. 1 Sample3 2.88. 5.65 1 Sample4 0.77. 1.34 1 The numbers describe a fold ...
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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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30 views

Picking number of samples for clustering [closed]

I have expression data for 100 samples and clinical data for 50 among them. I want to carryout k-means clustering using expression data and then do a survival analysis (Kaplan-Meier analysis) using ...
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1answer
30 views

Metagenomics: Identifying most common sequences

I am working on a project and used the following command: ...
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416 views

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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1answer
199 views

Calculating average mito.percentage for each cluster (seurat)

I have a tricky data set with cells that will have a higher percent of mitochondria genes than "typical" data sets. I would like to look at the mito percentage in each cluster without any ...
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1answer
46 views

data visualization RNAseq : scaling data for PCA and cluster dendogram

I have count data from a RNAseq experiment (2 samples are from normal cells and 3 samples are cells with a disease), and the data is already standardized by trimmed mean of M values (TMM). I want to ...
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46 views

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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1answer
2k views

How to add cluster name to metadata in Seurat?

I'm working on a Seurat object and want to name the clusters according to 2 values alone (yes/no). So I want to add a new column to metadata and annotate the clusters (UMAP) with it. ...
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20 views

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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1answer
30 views

classifying samples by TCGA signature

I have some RNA-seq samples from multiple glioblastoma tumours that I'm now trying to classify according to a specific gene signature (from Verhaak et al., 2010) using R. The gene signature is ...
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632 views

Are phylogenetic tree construction algorithms any different than general clustering algorithms?

Are phylogenetic tree construction algorithms any different from clustering algorhithms? I suspect the answer is no. Of course phylogenetic tree construction uses biological knowledge, e.g special ...
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1answer
4k views

Changing active.ident in Seurat

Im trying to change the active.ident to another column in metadata but this error keeps popping up! I recently upgraded to R version 4.0.2 from 3.6.1 The older version was working but the new one isn'...
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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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1answer
54 views

about the normalization of RNAseq data for calculating distance for unsupervised learning

I have been working on clustering using RNAseq data. To compute distance, what kinds of normalization is optimal? Can we use normalization using relative log normalization? I understand this should ...
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391 views

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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0answers
111 views

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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2k views

How to decide number of neighbors and resolution for Louvain clustering

I am using Louvain clustering (1,2) to cluster cells in scRNAseq data, as implemented by scanpy. One of the parameter required for this kind of clustering is the number of neighbors used to construct ...
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1answer
77 views

How to identify latent variables in single-cell RNA-Seq data

I have a single-cell RNASeq sample, in which I'd like to identify latent variables (e.g. response to stress) that I think might be affecting the clustering. The approach I was planning to use is to ...
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2answers
57 views

Tools or softwares for clustering evaluation

I am using a few clustering algorithms as well as my own tool for protein sequences. Also, I have benchmarked clustering results (i.e. ground truth) to compare with the results. Is there any tool/...
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1answer
44 views

choosing a good representative genome subset

I'm trying to build a genomic database for DNA alignments. I started with NCBI accessions, but the data is very multiplicative, so I want to use subset of [max] N different strains for each specie. my ...
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3answers
92 views

K means clustering, would PCA be a better option?

I have the data below. I need to use a clustering method to classify them and into categories of "Heterozygotote, Allele 1, Allele 2 and No Call. The values in RFU1 and RFU2 are used to determine the ...
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1answer
455 views

how to interpret of "pvclust" dendrogram and finding height for cutting dendrogram?

I study on RNA-seq expression dataset about one cancer in TCGA. I downloaded FPKM dataset and removed batch effect by ComBat() function. Now, I used pvclust for ...
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126 views

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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2answers
2k views

Seurat for clustering bulk RNA-seq?

Is it ever ok to use Seurat for clustering bulk samples? I am looking at FPKM data from ~750 bulk RNA-seq samples generated using Cufflinks. As suggested for FPKM ...
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2answers
119 views

Find most similar genes to a set of genes of interest in time series RNA-seq data

I have gene expression data (RNA-seq) for 30 different time points (from 0 to 60 min each 2 min). I have a set of 8 genes that behave similarly (although not identically) and I want to find the top X ...