Harmonizing User-defined Phenotypic Variables using Latent Semantic Analysis (LSA) to Improve Data Discoverability in dbGaP

Liz Amos, Satyajeet Raje, Masato Kimura, Preeti G. Kochar, Victoria Wilder, Ben Busby. Harmonizing User-defined Phenotypic Variables using Latent Semantic Analysis (LSA) to Improve Data Discoverability in dbGaP. In AMIA 2017, American Medical Informatics Association Annual Symposium, Washington, DC, November 4-8, 2017. AMIA, 2017. [doi]

@inproceedings{AmosRKKWB17,
  title = {Harmonizing User-defined Phenotypic Variables using Latent Semantic Analysis (LSA) to Improve Data Discoverability in dbGaP},
  author = {Liz Amos and Satyajeet Raje and Masato Kimura and Preeti G. Kochar and Victoria Wilder and Ben Busby},
  year = {2017},
  url = {http://knowledge.amia.org/65881-amia-1.3897810/t004-1.3900473/f004-1.3900474/2732189-1.3901431/2732008-1.3901428},
  researchr = {https://researchr.org/publication/AmosRKKWB17},
  cites = {0},
  citedby = {0},
  booktitle = {AMIA 2017, American Medical Informatics Association Annual Symposium, Washington, DC, November 4-8, 2017},
  publisher = {AMIA},
}