TY  - JOUR 
AU  - Carmona Sáez, Pedro
AU  - Nogales-Cadenas, Ruben
AU  - Chagoyen, Monica
AU  - Tirado, Francisco
AU  - Carazo, Jose M.
AU  - Pascual-Montano, Alberto
PY  - 2009
UR  - https://hdl.handle.net/10481/88204
AB  - We present SENT (semantic features in text), a functional interpretation tool based on literature analysis. SENT uses Non-negative Matrix Factorization to identify topics in the scientific articles related to a collection of genes or their products,...
LA  - eng
TI  - SENT: semantic features in text
DO  - https://doi.org/10.1093/nar/gkp392
ER  -