- claim_text
Transcriptomic cell type classification predicts intrinsic electrophysiological properties with high accuracy, but some PV transcriptomic subtypes show overlapping firing parameters, indicating that gene expression alone cannot fully explain electrophysiological diversity.
- raw_fields
{
"n": 0,
"doi": "10.1016/j.neuron.2021.01.003",
"claim": "Transcriptomic cell type classification predicts intrinsic electrophysiological properties with high accuracy, but some PV transcriptomic subtypes show overlapping firing parameters, indicating that gene expression alone cannot fully explain electrophysiological diversity.",
"evidence": "",
"effect_size": "high accuracy prediction of ephys from transcriptomics; some PV subtypes overlap",
"text_access": "abstract_only",
"study_system": "mouse cortex",
"replication_status": "replication_unknown",
"claim_source_sentence": "Transcriptomic type predicts intrinsic electrophysiological properties with high accuracy.",
"replication_evidence_dois": [],
"effect_size_source_sentence": "Transcriptomic type predicts intrinsic electrophysiological properties with high accuracy."
}- source_refs
[
"paper:paper-1525564ddf5b"
]
- evidence_refs
[
{
"ref": "paper:paper-1525564ddf5b"
}
]- source_policy
{
"mode": "public_source_pointer_with_short_context",
"notes": [
"Local review repositories are read-only inputs.",
"SciDEX stores paper metadata, structured evidence, file pointers, and short citation contexts; it does not copy full review prose."
],
"source_commit_sha": "df9fc7e8d455b084152c9d713558dae0013cef21",
"source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV"
}