HiTIME: An efficient model-selection approach for the detection of unknown drug metabolites in LC-MS data
Michael G Leeming, Andrew P Isaac, Luke Zappia, Richard AJ O'Hair, William A Donald, Bernard J Pope
SoftwareX | ELSEVIER | Published : 2020
We gratefully thank Kin Kuan Hoi for evaluating early versions of HiTIME. We thank Prof. Michael Small for useful discussions on mathematical approaches to identifying twin-ion peaks. We thank the University of Melbourne Interdisciplinary Seed Grant program for funding. This research was further supported by the Victorian Life Sciences Computation Initiative (VLSCI). BP is supported by a Victorian Health and Medical Research Fellowship, Australia. MGL thanks the Elizabeth and Vernon Puzey foundation for the award of a PhD scholarship and The University of Melbourne for a Norma Hilda Schuster scholarship.