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biomarker pattern software (bps  (Ciphergen inc)

 
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    Structured Review

    Ciphergen inc biomarker pattern software (bps
    Data mining of the set of multidrug-resistant tuberculosis serum proteins <t>biomarker</t> candidates. (A) Biological process; (B) Cellular component; (C) Molecular function; (D) KEGG pathway mapping; (E) The network of proteins analyzed by String software.
    Biomarker Pattern Software (Bps, supplied by Ciphergen inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/biomarker pattern software (bps/product/Ciphergen inc
    Average 90 stars, based on 1 article reviews
    biomarker pattern software (bps - by Bioz Stars, 2026-05
    90/100 stars

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    1) Product Images from "A Group of Novel Serum Diagnostic Biomarkers for Multidrug-Resistant Tuberculosis by iTRAQ-2D LC-MS/MS and Solexa Sequencing"

    Article Title: A Group of Novel Serum Diagnostic Biomarkers for Multidrug-Resistant Tuberculosis by iTRAQ-2D LC-MS/MS and Solexa Sequencing

    Journal: International Journal of Biological Sciences

    doi: 10.7150/ijbs.13805

    Data mining of the set of multidrug-resistant tuberculosis serum proteins biomarker candidates. (A) Biological process; (B) Cellular component; (C) Molecular function; (D) KEGG pathway mapping; (E) The network of proteins analyzed by String software.
    Figure Legend Snippet: Data mining of the set of multidrug-resistant tuberculosis serum proteins biomarker candidates. (A) Biological process; (B) Cellular component; (C) Molecular function; (D) KEGG pathway mapping; (E) The network of proteins analyzed by String software.

    Techniques Used: Biomarker Assay, Software

    Data mining of the set of multidrug-resistant tuberculosis serum miRNAs biomarker candidates. MDR-TB: multidrug-resistant tuberculosis; DS-TB: drug-sensitive tuberculosis. (A) GO analysis; (B) KEGG analysis; (C) cluster analysis.
    Figure Legend Snippet: Data mining of the set of multidrug-resistant tuberculosis serum miRNAs biomarker candidates. MDR-TB: multidrug-resistant tuberculosis; DS-TB: drug-sensitive tuberculosis. (A) GO analysis; (B) KEGG analysis; (C) cluster analysis.

    Techniques Used: Biomarker Assay

    Decision trees in the diagnostic model for the multidrug-resistant tuberculosis by the Biomarker Patterns Software. The diagnostic model shows the tree structure and sample distribution of the set. MDR-TB: multidrug-resistant tuberculosis; DS-TB: drug-sensitive tuberculosis. (A) diagnostic model for MDR-TB patients and healthy controls; (B) diagnostic model for MDR-TB patients and DS-TB patients.
    Figure Legend Snippet: Decision trees in the diagnostic model for the multidrug-resistant tuberculosis by the Biomarker Patterns Software. The diagnostic model shows the tree structure and sample distribution of the set. MDR-TB: multidrug-resistant tuberculosis; DS-TB: drug-sensitive tuberculosis. (A) diagnostic model for MDR-TB patients and healthy controls; (B) diagnostic model for MDR-TB patients and DS-TB patients.

    Techniques Used: Diagnostic Assay, Biomarker Assay, Software



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    Decision tree analysis models and expression profiles of potential <t>biomarker</t> peaks. Cluster-peaks implicated in the tree-analysis model using the IMAC30 chip-type (panel A) or the CM10 chip-type (D) stratifying myosteatosis (black) and control (grey) were plotted according to their normalized intensity values (B, C and E, y-axis) for peak clusters of m/z 2540 (B), 4373 (C) and 2544 (E).
    Biomarker Pattern Software (Bps, supplied by Bio-Rad, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Image Search Results


    Data mining of the set of multidrug-resistant tuberculosis serum proteins biomarker candidates. (A) Biological process; (B) Cellular component; (C) Molecular function; (D) KEGG pathway mapping; (E) The network of proteins analyzed by String software.

    Journal: International Journal of Biological Sciences

    Article Title: A Group of Novel Serum Diagnostic Biomarkers for Multidrug-Resistant Tuberculosis by iTRAQ-2D LC-MS/MS and Solexa Sequencing

    doi: 10.7150/ijbs.13805

    Figure Lengend Snippet: Data mining of the set of multidrug-resistant tuberculosis serum proteins biomarker candidates. (A) Biological process; (B) Cellular component; (C) Molecular function; (D) KEGG pathway mapping; (E) The network of proteins analyzed by String software.

    Article Snippet: Selected biomarkers were transferred to Biomarker Pattern Software (BPS, Ciphergen Biosystems) to construct the decision tree of MDR-TB .

    Techniques: Biomarker Assay, Software

    Data mining of the set of multidrug-resistant tuberculosis serum miRNAs biomarker candidates. MDR-TB: multidrug-resistant tuberculosis; DS-TB: drug-sensitive tuberculosis. (A) GO analysis; (B) KEGG analysis; (C) cluster analysis.

    Journal: International Journal of Biological Sciences

    Article Title: A Group of Novel Serum Diagnostic Biomarkers for Multidrug-Resistant Tuberculosis by iTRAQ-2D LC-MS/MS and Solexa Sequencing

    doi: 10.7150/ijbs.13805

    Figure Lengend Snippet: Data mining of the set of multidrug-resistant tuberculosis serum miRNAs biomarker candidates. MDR-TB: multidrug-resistant tuberculosis; DS-TB: drug-sensitive tuberculosis. (A) GO analysis; (B) KEGG analysis; (C) cluster analysis.

    Article Snippet: Selected biomarkers were transferred to Biomarker Pattern Software (BPS, Ciphergen Biosystems) to construct the decision tree of MDR-TB .

    Techniques: Biomarker Assay

    Decision trees in the diagnostic model for the multidrug-resistant tuberculosis by the Biomarker Patterns Software. The diagnostic model shows the tree structure and sample distribution of the set. MDR-TB: multidrug-resistant tuberculosis; DS-TB: drug-sensitive tuberculosis. (A) diagnostic model for MDR-TB patients and healthy controls; (B) diagnostic model for MDR-TB patients and DS-TB patients.

    Journal: International Journal of Biological Sciences

    Article Title: A Group of Novel Serum Diagnostic Biomarkers for Multidrug-Resistant Tuberculosis by iTRAQ-2D LC-MS/MS and Solexa Sequencing

    doi: 10.7150/ijbs.13805

    Figure Lengend Snippet: Decision trees in the diagnostic model for the multidrug-resistant tuberculosis by the Biomarker Patterns Software. The diagnostic model shows the tree structure and sample distribution of the set. MDR-TB: multidrug-resistant tuberculosis; DS-TB: drug-sensitive tuberculosis. (A) diagnostic model for MDR-TB patients and healthy controls; (B) diagnostic model for MDR-TB patients and DS-TB patients.

    Article Snippet: Selected biomarkers were transferred to Biomarker Pattern Software (BPS, Ciphergen Biosystems) to construct the decision tree of MDR-TB .

    Techniques: Diagnostic Assay, Biomarker Assay, Software

    Decision tree analysis models and expression profiles of potential biomarker peaks. Cluster-peaks implicated in the tree-analysis model using the IMAC30 chip-type (panel A) or the CM10 chip-type (D) stratifying myosteatosis (black) and control (grey) were plotted according to their normalized intensity values (B, C and E, y-axis) for peak clusters of m/z 2540 (B), 4373 (C) and 2544 (E).

    Journal: Biomedical Reports

    Article Title: Proteomic identification of potential markers of myosteatosis in human urine

    doi: 10.3892/br.2018.1091

    Figure Lengend Snippet: Decision tree analysis models and expression profiles of potential biomarker peaks. Cluster-peaks implicated in the tree-analysis model using the IMAC30 chip-type (panel A) or the CM10 chip-type (D) stratifying myosteatosis (black) and control (grey) were plotted according to their normalized intensity values (B, C and E, y-axis) for peak clusters of m/z 2540 (B), 4373 (C) and 2544 (E).

    Article Snippet: Model building and validation Clustered peak lists were analysed with the Biomarker Pattern software (BPS; Bio-Rad).

    Techniques: Expressing, Biomarker Assay

    Expression profiles of potential biomarker peaks identified in cluster and decision tree-analysis models.

    Journal: Biomedical Reports

    Article Title: Proteomic identification of potential markers of myosteatosis in human urine

    doi: 10.3892/br.2018.1091

    Figure Lengend Snippet: Expression profiles of potential biomarker peaks identified in cluster and decision tree-analysis models.

    Article Snippet: Model building and validation Clustered peak lists were analysed with the Biomarker Pattern software (BPS; Bio-Rad).

    Techniques: Expressing, Biomarker Assay