title: In vitro molecular pattern classification via DNA-based weighted-sum operation.
abstract: Recent progress in molecular computation suggests the possibility of pattern classification in vitro. Weighted sum is a primitive operation required by many pattern classification problems. Here we present a DNA-based molecular computation method for implementing the weighted-sum operation and its use for molecular pattern classification in a test tube. The weights of the classifier are encoded as the mixing ratios of the differentially labeled probe DNA molecules, which are competitively hybridized with the input-encoding target molecules to compute the decision boundary of classification. The computation result is detected by fluorescence signals. We experimentally verify the underlying weight encoding scheme and demonstrate successful discrimination of two-group labels of synthetic DNA mixture patterns. The method can be used for direct computation on biomolecular data in a liquid state.
authors.affiliation: Department of Computer Science and Engineering, Ewha Womans University, Seoul, Republic of Korea. hwlim@ewha.ac.kr
authors.forename: Hee-Woong
authors.initials: HW
authors.lastname: Lim
authors.forename: Seung Hwan
authors.initials: SH
authors.lastname: Lee
authors.forename: Kyung-Ae
authors.initials: KA
authors.lastname: Yang
authors.forename: Ji Youn
authors.initials: JY
authors.lastname: Lee
authors.forename: Suk-In
authors.initials: SI
authors.lastname: Yoo
authors.forename: Tai Hyun
authors.initials: TH
authors.lastname: Park
authors.forename: Byoung-Tak
authors.initials: BT
authors.lastname: Zhang
mesh_terms: D001483:Base Sequence; D004247:DNA / Q000737:chemistry*; D015342:DNA Probes; D066298:In Vitro Techniques; D008962:Models, Theoretical; D013050:Spectrometry, Fluorescence
chemical_list: D015342:DNA Probes; D004247:DNA