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Statistical resynchronization and Bayesian detection of periodically expressed genes

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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A Genome-Wide Transcriptional Analysis of the Mitotic Cell Cycle

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Systematic determination of genetic network architecture

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Two yeast forkhead genes regulate the cell cycle and pseudohyphal growth

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Revealing modular organization in the yeast transcriptional network

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Analysis of cell-cycle-specific gene expression in human cells as determined by microarrays and double-thymidine block synchronization

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Statistical modeling of large microarray data sets to identify stimulus-response profiles

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Cluster analysis and display of genome-wide expression patterns

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Interpreting patterns of gene expression with self-organizing maps: Methods and application to hematopoietic differentiation

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Identification of Genes Periodically Expressed in the Human Cell Cycle and Their Expression in Tumors

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Comprehensive Identification of Cell Cycle–regulated Genes of the YeastSaccharomyces cerevisiaeby Microarray Hybridization

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A multivariate approach applied to microarray data for identification of genes with cell cycle-coupled transcription

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Transcriptional Regulatory Networks in Saccharomyces cerevisiae

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Statistical Signal Processing For Gene Microarrays

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Periodic mRNA synthesis and degradation co‐operate during cell cycle gene expression

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Periodic mRNA synthesis and degradation co‐operate during cell cycle gene expression

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New weakly expressed cell cycle‐regulated genes in yeast

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Pooling Evidence to Identify Cell Cycle–Regulated Genes

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Computational Methods in Systems Biology

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inferred← citeshttps://doi.org/10.1007/s00018-006-6184-6openalex-snapshot

Global analysis of gene transcription regulation in prokaryotes

inferred← citeshttps://doi.org/10.1016/j.eswa.2009.04.029openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.mrfmmm.2005.07.001openalex-snapshot

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Polynomial model approach for resynchronization analysis of cell-cycle gene expression data

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Cyclebase.org a comprehensive multi-organism online database of cell-cycle experiments

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The Forkhead transcription factor Hcm1 regulates chromosome segregation genes and fills the S-phase gap in the transcriptional circuitry of the cell cycle

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inferred← citeshttps://doi.org/10.1109/gensips.2007.4365817openalex-snapshot

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