Single-cell RNA-Seq reveals a developmental atlas of human prefrontal cortex
Mammalian prefrontal cortex contains billions of cells, some of which are known as neurons to play critical roles in memory, cognitive ability, decision making, social behavior etc. through participating into complex neural circuits. Although neural circuits build up in the late stage of human embryo development and even after birth, the diverse and functional cells start to generate and migrate to the appropriate location play essential roles as basis for developing future circuits. However, it...
Provenance — who produced it, who reused it
Linked to 15 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.
- Synthetic Analyses of Single-Cell Transcriptomes from Multiple B... 2020 · 268 cites
- Data denoising with transfer learning in single-cell transcripto... 2019 · 206 cites
- Decomposing Cell Identity for Transfer Learning across Cellular... 2019 · 186 cites
- Single-cell transcriptomic reveals molecular diversity and devel... 2021 · 106 cites
- SPEN haploinsufficiency causes a neurodevelopmental disorder ove... 2021 · 90 cites
- STAB: a spatio-temporal cell atlas of the human brain 2020 · 71 cites
9 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