High Accuracy Protein Identification: Fusion of Solid-State Nanopore Sensing and Machine Learning (100 kHz)
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https://figshare.com/articles/dataset/_i_High_Accuracy_Protein_Identification_Fusion_of_Solid-State_Nanopore_Sensing_and_Machine_Learning_i_100_kHz_/29816603
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This dataset contains raw ionic current recordings (.abf files) acquired using nanopore-based resistive pulse sensing (RPS) of four protein types: bovine serum albumin (BSA), human serum albumin (HSA), hemoglobin (Hb), and concanavalin A (conA). The data were collected using a 100 kHz sampling rate and were used in the study published as: Dutt, S., et al. High Accuracy Protein Identification: Fusion of Solid-State Nanopore Sensing and Machine Learning. Small Methods. https://doi.org/10.1002/smtd.20230067
创建时间：
2025-08-03
