Automation of gene assignments to metabolic pathways using high-throughput expression dataDepartment of Computer Science, Cornell University, Ithaca, NY
BMC Bioinformatics 2005, 6:217doi:10.1186/1471-2105-6-217
Additional filesAdditional File 1: Assignments of genes to pathways with the time series dataset. For each pathway we list the 10 highest scoring and the 10 lowest scoring assignments (or all assignments, if the number of assignments is 100 or less). Format: PDF Size: 208KB Download file This file can be viewed with: Adobe Acrobat Reader Additional File 2: Assignments of genes to pathways with the rosetta dataset. For each pathway we list the 10 highest scoring and the 10 lowest scoring assignments (or all assignments, if the number of assignments is 100 or less). Format: PDF Size: 208KB Download file This file can be viewed with: Adobe Acrobat Reader |



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