ArticleComputers & operations research2012
Clustering of High Throughput Gene Expression Data.
Article in Computers & operations research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer's disease: review, recommendation, implementation and application.Molecular neurodegeneration · 2022Pooled it
- Clustering algorithm based on DINNSM and its application in gene expression data analysis.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024Article
- Somtimes: self organizing maps for time series clustering and its application to serious illness conversations.Data mining and knowledge discovery · 2024Article
- Transcriptome-wide marker gene expression analysis of stress-responsive sulfate-reducing bacteria.Scientific reports · 2023Article
- Exosomal MicroRNA and Protein Profiles of Hepatitis B Virus-Related Hepatocellular Carcinoma Cells.International journal of molecular sciences · 2023Article
- Gene expression prediction based on neighbour connection neural network utilizing gene interaction graphs.PloS one · 2023Article
- Facial reduction for symmetry reduced semidefinite and doubly nonnegative programs.Mathematical programming · 2023Article
- Assisted clustering of gene expression data using regulatory data from partially overlapping sets of individuals.BMC genomics · 2022Article
- Circulating Exosomal microRNAs as Predictive Biomarkers of Neoadjuvant Chemotherapy Response in Breast Cancer.Current oncology (Toronto, Ont.) · 2022Article
- An analysis framework for clustering algorithm selection with applications to spectroscopy.PloS one · 2022Article
- Unsupervised Algorithms for Microarray Sample Stratification.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Filter Feature Selection for Unsupervised Clustering of Designer Drugs Using DFT Simulated IR Spectra Data.ACS omega · 2021Article
- Identification of new BACE1 inhibitors for treating Alzheimer's disease.Journal of molecular modeling · 2021Article
- Non-coding RNAs in cancer: platforms and strategies for investigating the genomic "dark matter".Journal of experimental & clinical cancer research : CR · 2020Review
- Common and different alterations of bone marrow mesenchymal stromal cells in myelodysplastic syndrome and multiple myeloma.Cell proliferation · 2020Article
- Gene-Based Clustering Algorithms: Comparison Between Denclue, Fuzzy-C, and BIRCH.Bioinformatics and biology insights · 2020Review
- Cluster analysis of replicated alternative polyadenylation data using canonical correlation analysis.BMC genomics · 2019Article
- Clustering algorithms: A comparative approach.PloS one · 2019Article
- Clust: automatic extraction of optimal co-expressed gene clusters from gene expression data.Genome biology · 2018Article
- clustComp, a bioconductor package for the comparison of clustering results.Bioinformatics (Oxford, England) · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
High throughput biological data need to be processed, analyzed, and interpreted to address problems in life sciences. Bioinformatics, computational biology, and systems biology deal with biological problems using computational methods. Clustering is one of the methods used to gain insight into biological processes, particularly at the genomics level. Clearly, clustering can be used in many areas of biological data analysis. However, this paper presents a review of the current clustering algorithms designed especially for analyzing gene expression data. It is also intended to introduce one of the main problems in bioinformatics - clustering gene expression data - to the operations research community.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.