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Identification and Correction of Time-Series Transcriptomic Anomalies[K562_timeseries]

ABSTRACT: Analysis and visualization of time-series transcriptomic data revealed Sudden TRanscriptomic Irregular Profile Expression changes (STRIPEs), characterized by anomalous transcript level values across the transcriptome in a given time point. We developed quantitative methods for detection and correction of STRIPEs in time-series. Correction of STRIPEs improves the quality of downstream analyses and reproducibility.Here we present cell-cycle transcriptomic time-series experiments containing STRIPEs from two different organisms/experimental conditions: Saccharomyces cerevisiae (BF264-15D background) in YEP 2% Dextrose at 38.5°C (mild chronic heat stress) and the K562 human cell line in RPMI + 10% BCS (bovine calf serum) + P/S.

ORGANISM(S): Homo sapiens

PROVIDER: GSE270332 | GEO | 2025/06/19

REPOSITORIES: GEO

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