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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20 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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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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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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12 views

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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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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2answers
42 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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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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89 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
65 views

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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2answers
50 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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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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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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61 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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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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28 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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Metagenomics: Identifying most common sequences

I am working on a project and used the following command: ...
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ConsensusClusterPlus for sample classification

Many large studies like TCGA use consensus clustering for transcriptional subtype identification. The most popular package for that seems to be ConsensusClusterPlus. If you want to classify an ...
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1answer
136 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
43 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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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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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
3k 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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3answers
526 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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1answer
1k 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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1answer
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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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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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51 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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88 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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389 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
70 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
55 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
90 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
275 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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436 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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2answers
104 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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2answers
110 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 ...
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118 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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1answer
51 views

Clustering using cellranger

Is it possible to run cell ranger clustering using only a gene x cell matrix? Cellranger reanalyze performs clustering but requires a hd5f file. I don't want to run the whole pipeline (including ...
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1answer
389 views

Hierarchical clustering for outlier detection - single cell RNASeq & WGCNA

I wish to conduct WGCNA on a single cell RNASeq dataset and, when choosing the optimal beta parameter after running pickSoftThreshold am presented with a rather ...
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1answer
478 views

Cluster is split in 2-3 locations on tsne plot - Suerat

I am running a single cell dataset (count data - exon) through Seurat. After running tsne I see a cluster (13) split in 3 different locations on the plot. Here are the commands I am running: ...
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2answers
469 views

Interpretation of hierarchical clustering with bootstrapping

I have data that includes 'cases' and 'controls' and have carried out hierarchical clustering. I used the pvclust package in R to bootstrap the results and ...
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58 views

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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573 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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145 views

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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1answer
93 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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2answers
110 views

Using multidimensional scaling to visualize protein sequences by functionality

I have a multiple sequence alignment (MSA) of protein sequences, with which I have performed multidimensional scaling to visualize their clustering. Using R, I used the ...
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1answer
165 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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236 views

Can I get the graph generated by cellranger

I’ve run the cellranger analysis pipeline on single cell RNASeq datasets. I can import the matrix and graph-based clusters into R. Doing this I can optimise the dimension reduction and plot cells with ...