Journal: bioRxiv
Article Title: Machine-Perception Nanosensor Platform to Detect Cancer Biomarkers
doi: 10.1101/2021.04.28.441499
Figure Lengend Snippet: (A) The feature vector contains two parts – example encoding (red) and optical response-based features (purple) – with each vector corresponding to a label that indicates the biomarker conditions (blue). The total features of FV 1 are described by 4 n + 2M, where tf denotes an n-gram term frequency vector (i.e n=2 in bigram and n=3 in trigram), and M denotes the number of chiralities. The total features of FV 2 are described by M + 2N, where cf denotes SWCNT chirality features, N denotes the number of sequences and M denotes the number of chiralities. a is an indicator function for the analyte presence (either 0 or 1). The subscripts C, H, and Y represent CA-125, HE4, and YKL-40, respectively. (B) Each feature vector is processed by a multi-label classifier (black box) in order to classify (detect) each biomarker. IR is the intensity ratio and defined as IR=I/I 0 .
Article Snippet: Human cancer antigen 125 (CA-125), also known as MUC16, and Human chitinase 3-like 1 (YKL-40) were purchased from R&D Systems.
Techniques: Plasmid Preparation, Biomarker Assay