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B. How to use e Parametriic Analysis o of Gene Sett Enrichmen nt (PAGE)? PAGE method is argued by Kim m [BMC Bioin nformatics 20 005, 6:144]. U Using Central Limit Theore em in statiistics, this method m is sim mple and effiicient. Differe ent to SEA, it takes exprression level into acco ount, and can n deal with a llong list of geenes/probese ets. STEP P 1: Firsttly, you should choose the species forr your query data. Pleasee make sure tthat identifie ers in yourr input should be one of datatypes in nside the righ ht information table. If yo our identifiers are not stored in agrriGO, there iss another tw wo ways: one is provided your own GO O annotation n file, the o other is to usse our BLAST4 4ID service. P 2: STEP In PA AGE analysis,, user should pay more atttention to inp put data. As p presented in the followingg imagge, as least tw wo rows must be provided d. The first ro ow is sequencce identifiers,, and followin ngs are n numerical value. The num merical value iis fold change e (FC) or log2 2‐transformed d FC value (laatter prefferred) of thee identifiers' eexpression un nder differentt condition. Iff you do not have expresssion dataa, then SEA m may be the altternative choice. In aggriGO’s exam mple, there are 3 rows in th his example. First row is A ATH1 probeseet name, the seco ond row is expression fold change (FC) value of cold d treatment to CK(cold/CK K) after half hour. Third d row is exprression FC of cold/CK afterr 24 hour cold d treatment. Only 600 pro obesets are in n the quicck example fo or the fast loaad of the HTM ML page. To o obtain a full view of PAGE method, you u can dow wnload the fulll example filee and exploree the followin ng analysis prrocedure.