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Table 1 The ten most common topics from a trained LDA model

From: Identifying biological concepts from a protein-related corpus with a probabilistic topic model

Topic #

Topic words

51

receptor coupl ligand agonist subtype pharmacolog antagonist orphan adrenerg desensit

156

kinas phosphoryl serin threonin pkc autophosphoryl casein akt catalyt ste20

136

cerevisia saccharomyc strain yeast plasmid multicopi lacz floccul auxotroph gal1

67

Famili member belong multigen subfamily mrg Dalton cabp28k heterogen transmembran

154

patient syndrom diseas disord autosom inherit recess ref caus clinic

124

cdna librari clone probe screen isol lambda obtain oligonucleotid gtl1

37

neuron axon migrat motor glial spinal cord neurit dendrite outgrowth

229

mutant defect doubl phenotyp fail rescu restor impair pleiotrop unable

112

exon intron genom kb flank region span upstream bp start

172

nuclear nucleu export cytoplasm nuclei pore ran hnrnp envelop import