Researcher's Digest

Researcher's
DIGEST

CONVERT LIST OF GENES INTO FUNCTIONAL
CLUSTERS BY USING TEXT-MINING TECHNIQUES

Please cite:
Triviño, J.C., Sánchez-Ferrero, J.C. & Oliveros, J.C. (2007). Researcher's DIGEST. Using text-mining techniques for classifying list of genes. Critical Assessment of Microarray Databases (CAMDA07). (pdf1) (pdf2)

Paste a table of up to 1000 gene IDs and descriptions. Separate columns by tabs (Example 1).
Optional: include logRatio values to see the gene expression patterns (Example 2). IMPORTANT: all logRatio values MUST be valid numbers. Null or empty cells are not yet allowed.

Examples correspond to the 100 most variable gene expression patterns from:

"Simons V, Morrissey JP, Latijnhouwers M, Csukai M et al. Dual effects of plant steroidal alkaloids on Saccharomyces cerevisiae. Antimicrob Agents Chemother 2006 Aug;50(8):2732-40."

All data were downloaded from Gene Expression Omnibus database: GDS2196

Settings

Settings

Define the importance of every type of keyword by assigning them weights between 1 and 100.

Changing these values is only recommended when default values do not give adequate results.

To reset the default values click here

Type of keyword Weight

Words with biological prefixes or suffixes

Words containing numbers

Words that seem to be accessions to biological databases

Words with capital characters

Other single words (monograms)

Terms composed by two words (bigrams)

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