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Learning "graph-mer" Motifs that Predict Gene Expression Trajectories in Development.

• Authors : Xuejing Li¹; Panea, Casandra²; Wiggins, Chris H.³

• Source: PLoS Computational Biology. Apr2010, Vol. 6 Issue 4, p1-13. 13p. 4 Diagrams, 1 Chart, 3 Graphs.

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Learning ‘‘graph-mer’’ Motifs that Predict Gene Expression Trajectories in Development

• Authors : Li, Xuejing; Panea, Casandra; Wiggins, Chris H.

Subjects: Mathematics; Genetics

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Learning 'graph-mer' Motifs that Predict Gene Expression Trajectories in Development

• Authors : Panea, Casandra; Wiggins, Chris H.; Reinke, Valerie

• Source: Li, Xuejing, Casandra Panea, Chris H. Wiggins, Valerie Reinke, and Christina Leslie. 2010. Learning "graph-mer" motifs that predict gene expression trajectories in development. PLoS Computational

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Learning "graph-mer" motifs that predict gene expression trajectories in development.

• Authors : Li X; Department of Physics, Columbia University, New York, New York, United States of America.; Panea C

Subjects: Algorithms* ; Multigene Family* ; Promoter Regions, Genetic*

• Source: PLoS computational biology [PLoS Comput Biol] 2010 Apr 29; Vol. 6 (4), pp. e1000761. Date of Electronic Publication: 2010 Apr 29.Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: Electronic

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