PROMOR App: A web application for label-free quantification (LFQ) proteomics data analysis and predictive modeling

Sagar Patel, Chathurani Ranathunge, Lubna Pinky, Julius Nyalwidhe, O. John Semmes, Robert K. Armstrong, C. Donald Combs. PROMOR App: A web application for label-free quantification (LFQ) proteomics data analysis and predictive modeling. In Donald A. Adjeroh, Qi Long, Xinghua Mindy Shi, Fei Guo, Xiaohua Hu, Srinivas Aluru, Giri Narasimhan, Jianxin Wang, Mingon Kang, Ananda Mondal, Jin Liu, editors, IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, Las Vegas, NV, USA, December 6-8, 2022. pages 3864-3866, IEEE, 2022. [doi]

@inproceedings{PatelRPNSAC22,
  title = {PROMOR App: A web application for label-free quantification (LFQ) proteomics data analysis and predictive modeling},
  author = {Sagar Patel and Chathurani Ranathunge and Lubna Pinky and Julius Nyalwidhe and O. John Semmes and Robert K. Armstrong and C. Donald Combs},
  year = {2022},
  doi = {10.1109/BIBM55620.2022.9995277},
  url = {https://doi.org/10.1109/BIBM55620.2022.9995277},
  researchr = {https://researchr.org/publication/PatelRPNSAC22},
  cites = {0},
  citedby = {0},
  pages = {3864-3866},
  booktitle = {IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, Las Vegas, NV, USA, December 6-8, 2022},
  editor = {Donald A. Adjeroh and Qi Long and Xinghua Mindy Shi and Fei Guo and Xiaohua Hu and Srinivas Aluru and Giri Narasimhan and Jianxin Wang and Mingon Kang and Ananda Mondal and Jin Liu},
  publisher = {IEEE},
  isbn = {978-1-6654-6819-0},
}