Best practices and lessons learned from reuse of 4 patient-derived metabolomics datasets in Alzheimer's disease

Jessica D. Tenenbaum, Colette Blach. Best practices and lessons learned from reuse of 4 patient-derived metabolomics datasets in Alzheimer's disease. In Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Marylyn D. Ritchie, Teri E. Klein, editors, Biocomputing 2018: Proceedings of the Pacific Symposium, The Big Island of Hawaii, Hawaii, USA, January 3-7, 2018. pages 280-291, 2018. [doi]

@inproceedings{TenenbaumB18,
  title = {Best practices and lessons learned from reuse of 4 patient-derived metabolomics datasets in Alzheimer's disease},
  author = {Jessica D. Tenenbaum and Colette Blach},
  year = {2018},
  url = {http://psb.stanford.edu/psb-online/proceedings/psb18/tenenbaum.pdf},
  researchr = {https://researchr.org/publication/TenenbaumB18},
  cites = {0},
  citedby = {0},
  pages = {280-291},
  booktitle = {Biocomputing 2018: Proceedings of the Pacific Symposium, The Big Island of Hawaii, Hawaii, USA, January 3-7, 2018},
  editor = {Russ B. Altman and A. Keith Dunker and Lawrence Hunter and Marylyn D. Ritchie and Teri E. Klein},
}