qstar-consortium.org

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Skip to main content. Quantitative Structure-Transcription-Assay Relationships) is a 50% government sponsored. 2-year research project involving a multidisciplinary. Team of about 40 people from 11 different Janssen departments, external consultants and 8 academic partners. This consortium is laying the foundation for the integration of three data types that are used throughout the drug discovery process: biological assay. Data, molecular profiling. Data and chemical structure. During hit to lead, (2).

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qstar-consortium.org | qstar-consortium.org Reviews

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Skip to main content. Quantitative Structure-Transcription-Assay Relationships) is a 50% government sponsored. 2-year research project involving a multidisciplinary. Team of about 40 people from 11 different Janssen departments, external consultants and 8 academic partners. This consortium is laying the foundation for the integration of three data types that are used throughout the drug discovery process: biological assay. Data, molecular profiling. Data and chemical structure. During hit to lead, (2).

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qstar-consortium.org | qstar-consortium.org Reviews

https://qstar-consortium.org

Skip to main content. Quantitative Structure-Transcription-Assay Relationships) is a 50% government sponsored. 2-year research project involving a multidisciplinary. Team of about 40 people from 11 different Janssen departments, external consultants and 8 academic partners. This consortium is laying the foundation for the integration of three data types that are used throughout the drug discovery process: biological assay. Data, molecular profiling. Data and chemical structure. During hit to lead, (2).

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Links | qstar-consortium.org

http://www.qstar-consortium.org/content/links

Skip to main content. Related literature and links.

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Analysis methods | qstar-consortium.org

http://www.qstar-consortium.org/content/analysis

Skip to main content. Many algorithms have been developed in the context of the QSTAR project, mainly. Integration of multiple high-dimensional data sets. Most of the research has not yet been published, but some of preliminary implementations are briefly described below. Factor Analysis for Bicluster Acquisition ). Factor Anal ysis for Robust Microarray S. Ummarization) and I/NI calls. Informative/Non-Informative calling of genes).

3

Participants | qstar-consortium.org

http://www.qstar-consortium.org/content/participants

Skip to main content. The team combines industrial and academic partners from US and Europe. The directly involved QSTAR-members, organized by institute, are;. Van Den Wyngaert Ilse.

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QSTAR | qstar-consortium.org

http://www.qstar-consortium.org/content/qstar

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Code | qstar-consortium.org

http://www.qstar-consortium.org/content/code

Skip to main content. Most analyses are done using R and BioConductor packages. Some internal packages and functions have also been developed in qstarDataUtils and. Factor Analysis for Robust Microarray Summarization ) and I/NI calls: BioConductor R package. Rchemcpp (Similarity measures for molecules): BioConductor R package. Factor Analysis for Bicluster Acquisition ). PBA (Principal Bicorrelation Analysis): available in tar.gz. QstarDataUtils and qstarAnalysis: R packages. Eg : visualization of gen.

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qstar-consortium.org

Skip to main content. Quantitative Structure-Transcription-Assay Relationships) is a 50% government sponsored. 2-year research project involving a multidisciplinary. Team of about 40 people from 11 different Janssen departments, external consultants and 8 academic partners. This consortium is laying the foundation for the integration of three data types that are used throughout the drug discovery process: biological assay. Data, molecular profiling. Data and chemical structure. During hit to lead, (2).

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