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PreprintLicence not statedChemRxiv

Emzing: A deep learning-enabled software suite for end-to-end analysis of high-resolution LC-MS metabolomics data

  • Aviral Singh1
  • Kasturi Nandi1
  • Prerna Dubey1
  • Nived Krishnan Santhosh1
  • Shayantan Banerjee2,3
  • Prajval Nakrani1
  • Avinash Vellore Sunder2,3
  • Deepti Sahasrabuddhe2,3
  • Pramod P. Wangikar1,2,3
  1. 1Clarity Bio Systems India Pvt. Ltd.
  2. 2Department of Chemical Engineering
  3. 3Indian Institute of Technology Bombay
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Cite

BibTeXRIS
BibTeX
@misc{singh2026emzing,
  title = {{Emzing: A deep learning-enabled software suite for end-to-end analysis of high-resolution LC-MS metabolomics data}},
  author = {Aviral Singh and Kasturi Nandi and Prerna Dubey and Nived Krishnan Santhosh and Shayantan Banerjee and Prajval Nakrani and Avinash Vellore Sunder and Deepti Sahasrabuddhe and Pramod P. Wangikar},
  howpublished = {ChemRxiv},
  year = {2026},
  month = sep,
  doi = {10.26434/chemrxiv-2025-g03kr/v4},
  url = {https://chemrxiv.org/doi/full/10.26434/chemrxiv-2025-g03kr/v4},
}
RIS
TY  - UNPB
TI  - Emzing: A deep learning-enabled software suite for end-to-end analysis of high-resolution LC-MS metabolomics data
AU  - Aviral Singh
AU  - Kasturi Nandi
AU  - Prerna Dubey
AU  - Nived Krishnan Santhosh
AU  - Shayantan Banerjee
AU  - Prajval Nakrani
AU  - Avinash Vellore Sunder
AU  - Deepti Sahasrabuddhe
AU  - Pramod P. Wangikar
PY  - 2026
DA  - 2026/09/03
PB  - ChemRxiv
DO  - 10.26434/chemrxiv-2025-g03kr/v4
UR  - https://chemrxiv.org/doi/full/10.26434/chemrxiv-2025-g03kr/v4
ER  -