MicroArray Quality Control (MAQC) Project
Microarray technology has had a profound impact on gene expression research. Some studies have questioned whether similar expression results are obtained when the same RNA samples are analyzed on different platforms. The MicroArray Quality Control (MAQC) project was initiated to address these concerns, as well as other performance and analysis issues. We demonstrate the consistency of results within a platform across test sites as well as the high level of cross-platform concordance in terms...
Provenance — who produced it, who reused it
Linked to 40 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
- A Comparative Study of Techniques for Differential Expression An... 2014 · 356 cites
- Multi-platform assessment of transcriptome profiling using RNA-s... 2014 · 261 cites
- Comparing the normalization methods for the differential analysi... 2015 · 197 cites
- A comprehensive assessment of RNA-seq protocols for degraded and... 2017 · 173 cites
- In silico Pathway Activation Network Decomposition Analysis (iPA... 2016 · 140 cites
- DeMix: deconvolution for mixed cancer transcriptomes using raw m... 2013 · 119 cites
- Transcriptome assembly and isoform expression level estimation f... 2012 · 108 cites
- Multiplatform single-sample estimates of transcriptional activat... 2013 · 99 cites
- A comparison of per sample global scaling and per gene normaliza... 2017 · 98 cites
- Limitations of alignment-free tools in total RNA-seq quantificat... 2018 · 92 cites
- LIQA: long-read isoform quantification and analysis 2021 · 87 cites
27 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently