RNA-seq analysis of hepatocellular carcinoma with portal vein tumor thrombosis
Portal vein tumor thrombosis is a strong poor indication of HCC. Characterizing the molecular alterations of these metastatic HCCs is important for understanding the molecular mechanisms during HCC progression and metastasis. Previous genomic studies mainly focus on single molecular layer, such as gene expressions or exonic mutations. In this study, we systematically examined the copy number variation (CNV), DNA methylation, miRNA and transcriptome of matched adjacent normal tissues, primary tum...
Provenance — who produced it, who reused it
Linked to 22 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.
- Recurrently deregulated lncRNAs in hepatocellular carcinoma 2017 · 383 cites
- A comprehensive genome‐wide analysis of long noncoding RNA expre... 2017 · 127 cites
- circMRPS35 promotes malignant progression and cisplatin resistan... 2021 · 114 cites
- CIRCexplorer3: A CLEAR Pipeline for Direct Comparison of Circula... 2019 · 112 cites
- A comparative study of multi-omics integration tools for cancer... 2019 · 72 cites
17 further papers cite this accession but reuse could not be confirmed.
Deep data QC
100/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
The A grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq thresholds, weighted by its importance; nothing is hidden or subjective.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0