ElecFeX is a user-friendly toolbox for efficient feature extraction from single-cell electrophysiological recordings.

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Title: ElecFeX is a user-friendly toolbox for efficient feature extraction from single-cell electrophysiological recordings.
Authors: Ma X; Integrated Program in Neuroscience, McGill University, Montreal, QC H3G 1Y6, Canada., Miraucourt LS; Alan Edwards Center for Research on Pain, McGill University, Montreal, QC H3G 1Y6, Canada; Department of Physiology, McGill University, Montreal, QC H3G 1Y6, Canada., Qiu H; Alan Edwards Center for Research on Pain, McGill University, Montreal, QC H3G 1Y6, Canada; Department of Physiology, McGill University, Montreal, QC H3G 1Y6, Canada., Xu M; Alan Edwards Center for Research on Pain, McGill University, Montreal, QC H3G 1Y6, Canada; Department of Physiology, McGill University, Montreal, QC H3G 1Y6, Canada., Cook EP; Integrated Program in Neuroscience, McGill University, Montreal, QC H3G 1Y6, Canada; Department of Physiology, McGill University, Montreal, QC H3G 1Y6, Canada; Department of Quantitative Life Sciences, McGill University, Montreal, QC H3G 1Y6, Canada., Krishnaswamy A; Integrated Program in Neuroscience, McGill University, Montreal, QC H3G 1Y6, Canada; Department of Physiology, McGill University, Montreal, QC H3G 1Y6, Canada; Department of Quantitative Life Sciences, McGill University, Montreal, QC H3G 1Y6, Canada., Sharif-Naeini R; Alan Edwards Center for Research on Pain, McGill University, Montreal, QC H3G 1Y6, Canada; Department of Physiology, McGill University, Montreal, QC H3G 1Y6, Canada. Electronic address: reza.sharif@mcgill.ca., Khadra A; Integrated Program in Neuroscience, McGill University, Montreal, QC H3G 1Y6, Canada; Department of Physiology, McGill University, Montreal, QC H3G 1Y6, Canada; Department of Quantitative Life Sciences, McGill University, Montreal, QC H3G 1Y6, Canada. Electronic address: anmar.khadra@mcgill.ca.
Source: Cell reports methods [Cell Rep Methods] 2024 Jun 17; Vol. 4 (6), pp. 100791. Date of Electronic Publication: 2024 Jun 06.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 9918227360606676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2667-2375 (Electronic) Linking ISSN: 26672375 NLM ISO Abbreviation: Cell Rep Methods Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2667-2375
DOI:10.1016/j.crmeth.2024.100791