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PubMatrix is a simple way to rapidly and systematically compare any list
of terms against any other list of terms in PubMed. It reports back the
frequency of co-occurrence between all pairwise comparisons between the
two lists as a matrix table. Lists of terms can be anything; gene names,
diseases, gene functions, authors... pretty much anything. The user can
then quickly sort or browse the frequency matrix table to do individual
searches independently.
This allows the user to build up tables of word relationships in PubMed
in the context of your experiments or your scientific interests. This is
useful for analyzing combinatorial datasets, as found with multiplex
experimental systems, such as cDNA microarrays, genomic, proteomic, or
other multiplex comparisons. The PubMatrix database is an archive of
previous searches on many topics.
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