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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/product/biomarker+pattern+software+(bps/biomarker+pattern+software/pmc04737680-131-5-9
Average 90 stars, based on 1 article reviews
biomarker pattern software (bps - by Bioz Stars, 2026-10
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

Related Articles

other:

Article Title: Screening and identification of potential protein biomarkers for evaluating the efficacy of intensive therapy in pulmonary tuberculosis.
Article Snippet: This research aimed to discover potential biomarkers for evaluating the therapeutic efficacy of intensive therapy in pulmonary tuberculosis (TB).. Protein profiles in 2-months intensively treated TB patients, untreated TB patients, and healthy controls were investigated with iTRAQ-2DLC-MS/MS technique.. 71 differential proteins were identified in 2-months intensively treated TB patients.

Article Title: SELDI-TOF-MS Proteomic Profiling of Serum, Urine, and Amniotic Fluid in Neural Tube Defects
Article Snippet: Parameters of protein peaks were presented as mean value plus or minus standard deviation and spectral data of the training set were further analyzed using Biomarker Pattern Software (BPS) (version 5.0; Ciphergen Biosystems) to establish a classification tree.

Article Title: Diagnosis of sepsis and systemic inflammatory response syndrome
Article Snippet: CART analysis was performed using Ciphergen Biomarker Pattern software (BPS) version 5.0.

Biomarker Discovery:

Article Title: Urinary RKIP/p-RKIP is a potential diagnostic and prognostic marker of clear cell renal cell carcinoma
Article Snippet: .. The intensities (μA) of all the mass peaks were transferred to Biomarker Pattern Software (BPS ® -BIORAD) to build-up the optimal classification tree able to distinguish the samples from each group with the least error. ..

Article Title: Urinary diagnostic proteomic markers for dynapenia in cancer patients
Article Snippet: .. Model building and validation Clustered peak lists were analysed with the Biomarker Pattern software (BPS; Bio-Rad). ..

Article Title: Proteomic identification of potential markers of myosteatosis in human urine
Article Snippet: .. Clustered peak lists were analysed with the Biomarker Pattern software (BPS; Bio-Rad). ..

Article Title: Proteomic identification of potential markers of myosteatosis in human urine
Article Snippet: .. Model building and validation Clustered peak lists were analysed with the Biomarker Pattern software (BPS; Bio-Rad). ..

Article Title: A Group of Novel Serum Diagnostic Biomarkers for Multidrug-Resistant Tuberculosis by iTRAQ-2D LC-MS/MS and Solexa Sequencing
Article Snippet: Receiver operating characteristic (ROC) curve were calculated by MedCalc Software (Belgium, Version 12.4.2.0) and the diagnostic score of MDR-TB patients was set as 1, whereas that of DS-TB patients and healthy controls was set as 0. .. Selected biomarkers were transferred to Biomarker Pattern Software (BPS, Ciphergen Biosystems) to construct the decision tree of MDR-TB . ..

Software:

Article Title: Urinary RKIP/p-RKIP is a potential diagnostic and prognostic marker of clear cell renal cell carcinoma
Article Snippet: .. The intensities (μA) of all the mass peaks were transferred to Biomarker Pattern Software (BPS ® -BIORAD) to build-up the optimal classification tree able to distinguish the samples from each group with the least error. ..

Article Title: Urinary diagnostic proteomic markers for dynapenia in cancer patients
Article Snippet: .. Model building and validation Clustered peak lists were analysed with the Biomarker Pattern software (BPS; Bio-Rad). ..

Article Title: Proteomic identification of potential markers of myosteatosis in human urine
Article Snippet: .. Clustered peak lists were analysed with the Biomarker Pattern software (BPS; Bio-Rad). ..

Article Title: Proteomic identification of potential markers of myosteatosis in human urine
Article Snippet: .. Model building and validation Clustered peak lists were analysed with the Biomarker Pattern software (BPS; Bio-Rad). ..

Article Title: A Group of Novel Serum Diagnostic Biomarkers for Multidrug-Resistant Tuberculosis by iTRAQ-2D LC-MS/MS and Solexa Sequencing
Article Snippet: Receiver operating characteristic (ROC) curve were calculated by MedCalc Software (Belgium, Version 12.4.2.0) and the diagnostic score of MDR-TB patients was set as 1, whereas that of DS-TB patients and healthy controls was set as 0. .. Selected biomarkers were transferred to Biomarker Pattern Software (BPS, Ciphergen Biosystems) to construct the decision tree of MDR-TB . ..

Construct:

Article Title: A Group of Novel Serum Diagnostic Biomarkers for Multidrug-Resistant Tuberculosis by iTRAQ-2D LC-MS/MS and Solexa Sequencing
Article Snippet: Receiver operating characteristic (ROC) curve were calculated by MedCalc Software (Belgium, Version 12.4.2.0) and the diagnostic score of MDR-TB patients was set as 1, whereas that of DS-TB patients and healthy controls was set as 0. .. Selected biomarkers were transferred to Biomarker Pattern Software (BPS, Ciphergen Biosystems) to construct the decision tree of MDR-TB . ..



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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).
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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