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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Temporal changes of gene expression in health and mental disorders. Supporting Data

Authors: Arsen Arakelyan; Susanna Avagyan;

Temporal changes of gene expression in health and mental disorders. Supporting Data

Abstract

This dataset provides data necessary to replicate the results of the time-perturbation analysis of gene expression in health and mental disorders. The corresponding code is available in the GitHub repository https://github.com/susieavagyan/BrainExp-TemporalDynamics․ The content of the data archive is following: "GTEX_unzipped" folder contains GTEx single-tissue cis-eQTL dataset (v8) "pheno" folder contains sample phenotype data for datasets used in the analysis "scRNA-Ruzicka_data" folder contains gene signatures for neuronally associated processes and brian cell populations from Ruzicka, W. Brad, Shahin Mohammadi, Jose Davila-Velderrain, Sivan Subburaju, Daniel Reed Tso, Makayla Hourihan, and Manolis Kellis. 2020. “Single-Cell Dissection of Schizophrenia Reveals Neurodevelopmental-Synaptic Axis and Transcriptional Resilience.” MedRxiv, January, 2020.11.06.20225342. https://doi.org/10.1101/2020.11.06.20225342 paper. "v5_results.SOM - Results" folder contains the transcriptome analysis results generated with oposSOM pipeline "BM.table.Rdata" file contains gene symbol ENSEMBL ID conversion table required for eQTL analysis "Brain_development_v3.Rdata" file contains combined raw gene expression data of datasets used in this analysis "som_input_v5.Rdata" file contains batch adjusted and normalized gene expression matrix that was used as an input for oposSOM pipeline.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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