Hi,
I am reading a paper about gene prioritization and I encounter the terms 'attribute-based data sources' and 'vector-based data sources' while reading the part that the authors illustrate their methods.
I am new to gene data analysis and have no background in database so I was wondering what are the definitions for these two kinds of data sources and what's the difference between them. The authors do give some samples: attribute-based data sources such as GO, KEGG EST expression; vector-based data sources such as literature, microarray expression data
Could anyone give me some ideas? Thanks!
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1 answer
Attributes are categorical descriptors of data items, e.g. the list of GO terms associated with a gene. Vector data are numerical descriptors of the data items, e.g. the level of expression of a gene under different conditions.
Since you're interested in gene prioritization, I'll shamelessly point you to my paper on the topic.
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