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human cancer antigen 125 ca 125  (R&D Systems)


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    Structured Review

    R&D Systems human cancer antigen 125 ca 125
    Human Cancer Antigen 125 Ca 125, supplied by R&D Systems, used in various techniques. Bioz Stars score: 94/100, based on 14 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/human cancer antigen 125 ca 125/product/R&D Systems
    Average 94 stars, based on 14 article reviews
    human cancer antigen 125 ca 125 - by Bioz Stars, 2026-02
    94/100 stars

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    R&D Systems human cancer antigen 125 (ca-125
    (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 <t>CA-125,</t> 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 .
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    (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 <t>CA-125,</t> 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 .
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    Lee Biosolutions semi crude cancer antigen 125
    (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 <t>CA-125,</t> 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 .
    Semi Crude Cancer Antigen 125, supplied by Lee Biosolutions, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Image Search Results


    (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 .

    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

    (A) Concentrations of HE4, CA-125, and YKL-40 were measured by ELISA in uterine lavage samples. (B) Classification F1-scores for detection of the three biomarkers in lavage samples from training and test data sets, applying different protein concentration thresholds. (C) Classification F1-scores of nanosensor detection of each biomarker, applying different protein concentration thresholds. (D) The success of the detection of each biomarker via classification, applying different concentration thresholds. (E) Improvement in classification success, relative to the threshold of 100 nM.

    Journal: bioRxiv

    Article Title: Machine-Perception Nanosensor Platform to Detect Cancer Biomarkers

    doi: 10.1101/2021.04.28.441499

    Figure Lengend Snippet: (A) Concentrations of HE4, CA-125, and YKL-40 were measured by ELISA in uterine lavage samples. (B) Classification F1-scores for detection of the three biomarkers in lavage samples from training and test data sets, applying different protein concentration thresholds. (C) Classification F1-scores of nanosensor detection of each biomarker, applying different protein concentration thresholds. (D) The success of the detection of each biomarker via classification, applying different concentration thresholds. (E) Improvement in classification success, relative to the threshold of 100 nM.

    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: Enzyme-linked Immunosorbent Assay, Protein Concentration, Biomarker Assay, Concentration Assay