Integrating HRMAS-NMR Data and Machine Learning-Assisted Profiling of Metabolite Fluxes to Classify Low- and High-Grade Gliomas.
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| Title: | Integrating HRMAS-NMR Data and Machine Learning-Assisted Profiling of Metabolite Fluxes to Classify Low- and High-Grade Gliomas. |
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| Authors: | Firdous S; Biopharmaceuticals and Biomarkers Discovery Lab, School of Biochemistry and Biotechnology, University of the Punjab, Lahore, 54590, Pakistan.; Riphah College of Rehabilitation and Allied Health Sciences, Riphah International University, Lahore, 54770, Pakistan., Nawaz Z; Department of Data Science, Punjab University College of Information Technology, University of the Punjab, Lahore, 54590, Pakistan., Abid R; Biopharmaceuticals and Biomarkers Discovery Lab, School of Biochemistry and Biotechnology, University of the Punjab, Lahore, 54590, Pakistan., Cheng LL; Departments of Radiology and Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02129, USA., Musharraf SG; HEJ Research Institute of Chemistry, International Centre for Chemical and Biological Sciences, University of Karachi, Karachi, 75270, Pakistan., Sadaf S; Biopharmaceuticals and Biomarkers Discovery Lab, School of Biochemistry and Biotechnology, University of the Punjab, Lahore, 54590, Pakistan. saima.sbb@pu.edu.pk. |
| Source: | Interdisciplinary sciences, computational life sciences [Interdiscip Sci] 2024 Dec; Vol. 16 (4), pp. 854-871. Date of Electronic Publication: 2024 Sep 27. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 101515919 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-1462 (Electronic) Linking ISSN: 18671462 NLM ISO Abbreviation: Interdiscip Sci Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1867-1462 |
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| DOI: | 10.1007/s12539-024-00642-x |
