Reference health

Model-based clustering for RNA-seq data

https://doi.org/10.1093/bioinformatics/btt632
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28/28 checkable references clean · checked 2026-07-25

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

4 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 28 checked references that resolve
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resolves10.1186/1471-2105-11-94
Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments
resolves10.1016/0167-9473(92)90042-E
A classification EM algorithm for clustering and two stochastic versions
resolves10.1137/S1064827596311451
Algorithms for Model-Based Gaussian Hierarchical Clustering
resolves10.1198/016214502760047131
Model-Based Clustering, Discriminant Analysis, and Density Estimation
resolves10.1109/4235.771164
Clustering with a genetically optimized approach
resolves10.1038/ng.703
The developmental dynamics of the maize leaf transcriptome
resolves10.1042/BST0361091
Next-generation sequencing: applications beyond genomes
resolves10.1101/gr.079558.108
RNA-seq: An assessment of technical reproducibility and comparison with gene expression arrays
resolves10.1177/096228029700600106
On the EM algorithm for overdispersed count data
resolves10.1023/A:1007648401407
An Experimental Comparison of Model-Based Clustering Methods
resolves10.1038/nrg2626
Sequencing technologies — the next generation
resolves10.1038/nmeth.1226
Mapping and quantifying mammalian transcriptomes by RNA-Seq
resolves10.1166/jctn.2005.2977
Evolutionary Fuzzy Clustering Algorithm with Knowledge-Based Evaluation and Applications for Gene Expression Profiling
resolves10.1152/physiolgenomics.00138.2002
Clustering gene expression data using adaptive double self-organizing map
resolves10.1186/gb-2010-11-3-r25
A scaling normalization method for differential expression analysis of RNA-seq data
resolves10.1093/biostatistics/kxm030
Small-sample estimation of negative binomial dispersion, with applications to SAGE data
resolves10.1093/bioinformatics/btp616
<tt>edgeR</tt> : a Bioconductor package for differential expression analysis of digital gene expression data
resolves10.1109/5.726788
Deterministic annealing for clustering, compression, classification, regression, and related optimization problems
resolves10.1126/science.1160342
A Global View of Gene Activity and Alternative Splicing by Deep Sequencing of the Human Transcriptome
resolves10.1073/pnas.96.6.2907
Interpreting patterns of gene expression with self-organizing maps: Methods and application to hematopoietic differentiation
resolves10.1093/bfgp/elp057
Exploring plant transcriptomes using ultra high-throughput sequencing
resolves10.1038/nrg2484
RNA-Seq: a revolutionary tool for transcriptomics
resolves10.1214/11-AOAS493
Classification and clustering of sequencing data using a Poisson model
resolves10.1198/jasa.2010.ap09545
Online Model-Based Clustering for Crisis Identification in Distributed Computing
resolves10.1093/bioinformatics/17.10.977
Model-based clustering and data transformations for gene expression data
resolves10.2202/1544-6115.1128
A General Framework for Weighted Gene Co-Expression Network Analysis
The 4 references without a DOI — listed, not checked
no DOI — not checkedK-means++: the advantages of careful seeding
no DOI — not checkedCluster ensembles - a knowledge reuse framework for combining partitions
no DOI — not checkedModel-based hierarchical clustering
no DOI — not checkedA unified framework for model-based clustering
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