Identification of gene expression profiles in cervical cancer
This study is aimed in identification of gene expression profiles in cervical cancer and the role of specific genes in cervical carcinogenesis.
Provenance — who produced it, who reused it
Linked to 84 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.
- Epigenetic variability in cells of normal cytology is associated... 2012 · 192 cites
- Single-cell transcriptomics reveals the landscape of intra-tumor... 2021 · 138 cites
- SRSF10-mediated IL1RAP alternative splicing regulates cervical c... 2018 · 115 cites
- The effect of carbonic anhydrase IX on focal contacts during cel... 2013 · 96 cites
- Nucleolar and spindle associated protein 1 promotes metastasis o... 2019 · 88 cites
- Loss of Connectivity in Cancer Co-Expression Networks 2014 · 88 cites
- Identification of a histone family gene signature for predicting... 2017 · 73 cites
- Network pharmacology combined with experimental verification to... 2024 · 73 cites
- Epithelial tumor suppressor ELF3 is a lineage-specific amplified... 2019 · 71 cites
71 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