microarray hybridization and statistical analysis Search Results


lc ms ms method  (KCAS Bioanalytical and Biomarker Services)
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Lc Ms Ms Method, supplied by KCAS Bioanalytical and Biomarker Services, 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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microarray hybridisation and data normalisation analyses  (CapitalBio Corporation)
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Microarray Hybridisation And Data Normalisation Analyses, supplied by CapitalBio Corporation, 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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mirna labeling, quality control, chip hybridization and microarray analysis  (CapitalBio Corporation)
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Mirna Labeling, Quality Control, Chip Hybridization And Microarray Analysis, supplied by CapitalBio Corporation, 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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microarray hybridization  (Genminix Informatics Co Ltd)
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Genminix Informatics Co Ltd microarray hybridization
Microarray Hybridization, supplied by Genminix Informatics Co Ltd, 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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microarray hybridization and analysis  (Cogenics Inc)
90
Cogenics Inc microarray hybridization and analysis
The allograft T Cell <t>microarray</t> data were analyzed by PCA using Partek Genomics Suite. 50% of the variation in samples was revealed in the first two principal components. The first principal component is represented by the X axis and the second principal component by the Y axis. Treatment type appeared to be major source of variation and is indicated by different colored ellipsoids. Green, untreated; Red, CsA only; and Blue, CsA plus peptide. The numbers next to each ellipsoid indicate the number of days post transplantation regardless of treatment type. The type of treatment appeared to be the most significant effect and the treatment time was another significant variable. Each treatment could be seen as distinct groups. Both the untreated (Green) and the cyclosporine treated (Red) samples seemed to form similar cluster shapes. Cyclosporine plus peptide (Blue) sample, on the other hand, was much more spread out. This could be due to another variable such as time after transplantation. Indeed, treatment time did appear to have some effect on the PCA since the ovoids representing 7 day-treatment samples were always to the left of the 1 or 3 days treatments.
Microarray Hybridization And Analysis, supplied by Cogenics Inc, 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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microarray production, sample preparation, hybridization, scanning and data analysis  (MEMOREC Stoffel)
90
MEMOREC Stoffel microarray production, sample preparation, hybridization, scanning and data analysis
The allograft T Cell <t>microarray</t> data were analyzed by PCA using Partek Genomics Suite. 50% of the variation in samples was revealed in the first two principal components. The first principal component is represented by the X axis and the second principal component by the Y axis. Treatment type appeared to be major source of variation and is indicated by different colored ellipsoids. Green, untreated; Red, CsA only; and Blue, CsA plus peptide. The numbers next to each ellipsoid indicate the number of days post transplantation regardless of treatment type. The type of treatment appeared to be the most significant effect and the treatment time was another significant variable. Each treatment could be seen as distinct groups. Both the untreated (Green) and the cyclosporine treated (Red) samples seemed to form similar cluster shapes. Cyclosporine plus peptide (Blue) sample, on the other hand, was much more spread out. This could be due to another variable such as time after transplantation. Indeed, treatment time did appear to have some effect on the PCA since the ovoids representing 7 day-treatment samples were always to the left of the 1 or 3 days treatments.
Microarray Production, Sample Preparation, Hybridization, Scanning And Data Analysis, supplied by MEMOREC Stoffel, 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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chip microarray quality control, labeling, hybridization, scanning, and statistical analyze  (CapitalBio Corporation)
90
CapitalBio Corporation chip microarray quality control, labeling, hybridization, scanning, and statistical analyze
The allograft T Cell <t>microarray</t> data were analyzed by PCA using Partek Genomics Suite. 50% of the variation in samples was revealed in the first two principal components. The first principal component is represented by the X axis and the second principal component by the Y axis. Treatment type appeared to be major source of variation and is indicated by different colored ellipsoids. Green, untreated; Red, CsA only; and Blue, CsA plus peptide. The numbers next to each ellipsoid indicate the number of days post transplantation regardless of treatment type. The type of treatment appeared to be the most significant effect and the treatment time was another significant variable. Each treatment could be seen as distinct groups. Both the untreated (Green) and the cyclosporine treated (Red) samples seemed to form similar cluster shapes. Cyclosporine plus peptide (Blue) sample, on the other hand, was much more spread out. This could be due to another variable such as time after transplantation. Indeed, treatment time did appear to have some effect on the PCA since the ovoids representing 7 day-treatment samples were always to the left of the 1 or 3 days treatments.
Chip Microarray Quality Control, Labeling, Hybridization, Scanning, And Statistical Analyze, supplied by CapitalBio Corporation, 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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chip microarray quality control, labeling, hybridization, scanning, and statistical analyze - by Bioz Stars, 2026-07
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microarray hybridization and bioinformatics analysis  (Bioarray Inc)
90
Bioarray Inc microarray hybridization and bioinformatics analysis
The allograft T Cell <t>microarray</t> data were analyzed by PCA using Partek Genomics Suite. 50% of the variation in samples was revealed in the first two principal components. The first principal component is represented by the X axis and the second principal component by the Y axis. Treatment type appeared to be major source of variation and is indicated by different colored ellipsoids. Green, untreated; Red, CsA only; and Blue, CsA plus peptide. The numbers next to each ellipsoid indicate the number of days post transplantation regardless of treatment type. The type of treatment appeared to be the most significant effect and the treatment time was another significant variable. Each treatment could be seen as distinct groups. Both the untreated (Green) and the cyclosporine treated (Red) samples seemed to form similar cluster shapes. Cyclosporine plus peptide (Blue) sample, on the other hand, was much more spread out. This could be due to another variable such as time after transplantation. Indeed, treatment time did appear to have some effect on the PCA since the ovoids representing 7 day-treatment samples were always to the left of the 1 or 3 days treatments.
Microarray Hybridization And Bioinformatics Analysis, supplied by Bioarray Inc, 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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microarray hybridization, imaging, and data analysis  (Bioarray Inc)
90
Bioarray Inc microarray hybridization, imaging, and data analysis
The allograft T Cell <t>microarray</t> data were analyzed by PCA using Partek Genomics Suite. 50% of the variation in samples was revealed in the first two principal components. The first principal component is represented by the X axis and the second principal component by the Y axis. Treatment type appeared to be major source of variation and is indicated by different colored ellipsoids. Green, untreated; Red, CsA only; and Blue, CsA plus peptide. The numbers next to each ellipsoid indicate the number of days post transplantation regardless of treatment type. The type of treatment appeared to be the most significant effect and the treatment time was another significant variable. Each treatment could be seen as distinct groups. Both the untreated (Green) and the cyclosporine treated (Red) samples seemed to form similar cluster shapes. Cyclosporine plus peptide (Blue) sample, on the other hand, was much more spread out. This could be due to another variable such as time after transplantation. Indeed, treatment time did appear to have some effect on the PCA since the ovoids representing 7 day-treatment samples were always to the left of the 1 or 3 days treatments.
Microarray Hybridization, Imaging, And Data Analysis, supplied by Bioarray Inc, 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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microarray hybridization, imaging, and data analysis - by Bioz Stars, 2026-07
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microarray hybridization and analysis  (CapitalBio Corporation)
90
CapitalBio Corporation microarray hybridization and analysis
Validation of the <t>microarray</t> results by comparative RT-qPCR analysis. Data are presented as the mean ± standard deviation. RT-qPCR, reverse transcription-quantitative polymerase chain reaction.
Microarray Hybridization And Analysis, supplied by CapitalBio Corporation, 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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array hybridization and microarray analysis  (CapitalBio Corporation)
90
CapitalBio Corporation array hybridization and microarray analysis
Cluster analysis of <t>microarray</t> data using MapMan software. All microarray data were divided into 16 clusters that were labelled from (a) to (p). Detailed information for each cluster is provided in Supplementary Table S3 at JXB online. (This figure is available in colour at JXB online.)
Array Hybridization And Microarray Analysis, supplied by CapitalBio Corporation, 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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microarray hybridization and bioinformatics analysis  (Genminix Informatics Co Ltd)
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Genminix Informatics Co Ltd microarray hybridization and bioinformatics analysis
Cluster analysis of <t>microarray</t> data using MapMan software. All microarray data were divided into 16 clusters that were labelled from (a) to (p). Detailed information for each cluster is provided in Supplementary Table S3 at JXB online. (This figure is available in colour at JXB online.)
Microarray Hybridization And Bioinformatics Analysis, supplied by Genminix Informatics Co Ltd, 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


The allograft T Cell microarray data were analyzed by PCA using Partek Genomics Suite. 50% of the variation in samples was revealed in the first two principal components. The first principal component is represented by the X axis and the second principal component by the Y axis. Treatment type appeared to be major source of variation and is indicated by different colored ellipsoids. Green, untreated; Red, CsA only; and Blue, CsA plus peptide. The numbers next to each ellipsoid indicate the number of days post transplantation regardless of treatment type. The type of treatment appeared to be the most significant effect and the treatment time was another significant variable. Each treatment could be seen as distinct groups. Both the untreated (Green) and the cyclosporine treated (Red) samples seemed to form similar cluster shapes. Cyclosporine plus peptide (Blue) sample, on the other hand, was much more spread out. This could be due to another variable such as time after transplantation. Indeed, treatment time did appear to have some effect on the PCA since the ovoids representing 7 day-treatment samples were always to the left of the 1 or 3 days treatments.

Journal: PLoS ONE

Article Title: Down Regulation of Genes Involved in T Cell Polarity and Motility during the Induction of Heart Allograft Tolerance by Allochimeric MHC I

doi: 10.1371/journal.pone.0008020

Figure Lengend Snippet: The allograft T Cell microarray data were analyzed by PCA using Partek Genomics Suite. 50% of the variation in samples was revealed in the first two principal components. The first principal component is represented by the X axis and the second principal component by the Y axis. Treatment type appeared to be major source of variation and is indicated by different colored ellipsoids. Green, untreated; Red, CsA only; and Blue, CsA plus peptide. The numbers next to each ellipsoid indicate the number of days post transplantation regardless of treatment type. The type of treatment appeared to be the most significant effect and the treatment time was another significant variable. Each treatment could be seen as distinct groups. Both the untreated (Green) and the cyclosporine treated (Red) samples seemed to form similar cluster shapes. Cyclosporine plus peptide (Blue) sample, on the other hand, was much more spread out. This could be due to another variable such as time after transplantation. Indeed, treatment time did appear to have some effect on the PCA since the ovoids representing 7 day-treatment samples were always to the left of the 1 or 3 days treatments.

Article Snippet: The microarray hybridization and analysis were performed by Cogenics (Morrisville, NC) according to the manufacturer's protocol (Affymetrix, Santa Clara, CA).

Techniques: Microarray, Transplantation Assay

Validation of the microarray results by comparative RT-qPCR analysis. Data are presented as the mean ± standard deviation. RT-qPCR, reverse transcription-quantitative polymerase chain reaction.

Journal: Molecular Medicine Reports

Article Title: Transcriptional profile of SH-SY5Y human neuroblastoma cells transfected by Toxoplasma rhoptry protein 16

doi: 10.3892/mmr.2016.5758

Figure Lengend Snippet: Validation of the microarray results by comparative RT-qPCR analysis. Data are presented as the mean ± standard deviation. RT-qPCR, reverse transcription-quantitative polymerase chain reaction.

Article Snippet: The RNA samples were sent to the Bioassay Laboratory of CapitalBio Corporation (Beijing, China) for microarray hybridization and analysis.

Techniques: Biomarker Discovery, Microarray, Quantitative RT-PCR, Standard Deviation, Reverse Transcription, Real-time Polymerase Chain Reaction

Cluster analysis of microarray data using MapMan software. All microarray data were divided into 16 clusters that were labelled from (a) to (p). Detailed information for each cluster is provided in Supplementary Table S3 at JXB online. (This figure is available in colour at JXB online.)

Journal: Journal of Experimental Botany

Article Title: Constitutive production of nitric oxide leads to enhanced drought stress resistance and extensive transcriptional reprogramming in Arabidopsis

doi: 10.1093/jxb/eru184

Figure Lengend Snippet: Cluster analysis of microarray data using MapMan software. All microarray data were divided into 16 clusters that were labelled from (a) to (p). Detailed information for each cluster is provided in Supplementary Table S3 at JXB online. (This figure is available in colour at JXB online.)

Article Snippet: Array hybridization and microarray analysis were performed by CapitalBio Corporation in China.

Techniques: Microarray, Software