Transcriptomics profiling of Alzheimer’s disease reveal novel molecular targets
Our data provide a comprehensive list of transcriptomics alterations and warrant holistic approach including both coding and non-coding RNAs in functional studies aimed to understand the pathophysiology of LOAD
Provenance — who produced it, who reused it
Linked to 8 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.
- Transcriptomics Profiling of Alzheimer’s Disease Reveal Neurovas... 2015 · 175 cites
- Discovery of autism/intellectual disability somatic mutations in... 2019 · 112 cites
6 further papers cite this accession but reuse could not be confirmed.
Deep data QC
94/100 · 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