A Rule-Based Framework for Gene Regulation Pathways Discovery
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Description
We present novel approach to discover the rules that govern gene regulation mechanisms. The method is based on supervised machine learning and is designed to reveal relationships between transcription factors and gene promoters. As the representation of the gene regulatory circuit we have chosen a special form of IF-THEN rules associating certain features (a generalized idea of a Transcription Factor Binding Site) in gene promoters with specific gene expression profiles.
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Lawrence Livermore National Laboratory (LLNL), Livermore, CA
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Livermore, California
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Description
We present novel approach to discover the rules that govern gene regulation mechanisms. The method is based on supervised machine learning and is designed to reveal relationships between transcription factors and gene promoters. As the representation of the gene regulatory circuit we have chosen a special form of IF-THEN rules associating certain features (a generalized idea of a Transcription Factor Binding Site) in gene promoters with specific gene expression profiles.
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Wilczynski, B; Hvidsten, T; Kryshtafovych, A; Stubbs, L; Komorowski, J & Fidelis, K.A Rule-Based Framework for Gene Regulation Pathways Discovery,
article,
July 21, 2003;
Livermore, California.
(https://digital.library.unt.edu/ark:/67531/metadc1407864/:
accessed May 15, 2024),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
crediting UNT Libraries Government Documents Department.
