Making the Most of Nothing: One-Class Classification for Single-Molecule Transport Studies.

ABSTRACT: Single-molecule experiments offer a unique means to probe molecular properties of individual molecules-yet they rest upon the successful control of background noise and irrelevant signals. In single-molecule transport studies, large amounts of data that probe a wide range of physical and chemical behaviors are often generated. However, due to the stochasticity of these experiments, a substantial fraction of the data may consist of blank traces where no molecular signal is evident. One-class (OC) classification is a machine learning technique to identify a specific class in a data set that potentially consists of a wide variety of classes. Here, we examine the utility of two different types of OC classification models on four diverse data sets from three different laboratories. Two of these

SUBMITTER: Bro-Jorgensen W 

PROVIDER: S-EPMC11342344 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature