Limits and Prospects of Molecular Fingerprinting for Phenotyping Biological Systems Revealed through <i>In Silico</i> Modeling-Reference-Cited by-同舟云学术

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Limits and Prospects of Molecular Fingerprinting for Phenotyping Biological Systems Revealed through In Silico Modeling

Published:2023-04-12 Issue:16 Volume:95 Page:6523-6532
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Eissa Tarek¹²^ORCID,Kepesidis Kosmas V.¹³^ORCID,Zigman Mihaela¹³^ORCID,Huber Marinus¹³^ORCID

Affiliation:

1. Department of Laser Physics, Ludwig Maximilian University of Munich (LMU), 85748 Garching, Germany

2. Department of Informatics, Technical University of Munich (TUM), 85748 Garching, Germany

3. Laboratory for Attosecond Physics, Max Planck Institute of Quantum Optics (MPQ), 85748 Garching, Germany

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.2c04711

Reference40 articles.

1. Using Raman spectroscopy to characterize biological materials

2. Using Fourier transform IR spectroscopy to analyze biological materials

3. Fourier Transform Infrared Spectrometry

4. Clinical applications of infrared and Raman spectroscopy in the fields of cancer and infectious diseases

5. Distinguishing cell types or populations based on the computational analysis of their infrared spectra

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1. Plasma infrared fingerprinting with machine learning enables single-measurement multi-phenotype health screening;Cell Reports Medicine;2024-07

2. CODI: Enhancing machine learning-based molecular profiling through contextual out-of-distribution integration;2024-06-17

3. HLA-B*27 and Ankylosing Spondylitis: 50 Years of Insights and Discoveries;Current Rheumatology Reports;2023-11-11

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