Explore GitLab

An Information-Theoretic Study on Transcriptional Factors Acting Together

NLP preprocessing pipeline: sentence split, term detection, part-of-speech tagging , lemmatization, biological name entity recognition and transformation to internal representation

Resources for training students in Natural language processing and Text mining for Biomedical literature.

Here we display all the data and scripts used in order to answer one of the most relevant actual questions in the field of Human Health: ¿Which is the proportion of diseases that are caused due to afections in coding and non coding regions?

Results of two automatic linguistic morphological analysis of Spanish, Nahuatl and Maya: (i) unsupervised learning of morphology and (ii) morph clustering using word embeddings.

Salmonella enterica serovar Typhimurium transcripctional regulatory network reconstructed from 4,601 scientific article with Natural language processing