most citedTree-Based Learning on Amperometric Time Series Data Demonstrates High Accuracy for Classification

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

q-bio.SC2023

Spike-by-Spike Frequency Analysis of Amperometry Traces Provides Statistical Validation of Observations in the Time Domain

Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen +4

Amperometry is a commonly used electrochemical method for studying the process of exocytosis in real-time. Given the high precision of recording that amperometry procedures offer,…

q-bio.SC2023★ 1 cited

Tree-Based Learning on Amperometric Time Series Data Demonstrates High Accuracy for Classification

Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen +4

Elucidating exocytosis processes provide insights into cellular neurotransmission mechanisms, and may have potential in neurodegenerative diseases research. Amperometry is an estab…