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The publication data currently available has been vetted by Vanderbilt faculty, staff, administrators and trainees. The data itself is retrieved directly from NCBI's PubMed and is automatically updated on a weekly basis to ensure accuracy and completeness.

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Results: 1 to 3 of 3

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Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy.
Barone SM, Paul AG, Muehling LM, Lannigan JA, Kwok WW, Turner RB, Woodfolk JA, Irish JM
(2021) Elife 10:
MeSH Terms: Adolescent, Adult, Algorithms, CD4-Positive T-Lymphocytes, COVID-19, Humans, Leukemia, Myeloid, Acute, Melanoma, Neoplasms, Picornaviridae Infections, Rhinovirus, SARS-CoV-2, Unsupervised Machine Learning, Young Adult
Added August 31, 2021
3 Communities
1 Members
0 Resources
MeSH Terms
Unsupervised machine learning reveals risk stratifying glioblastoma tumor cells.
Leelatian N, Sinnaeve J, Mistry AM, Barone SM, Brockman AA, Diggins KE, Greenplate AR, Weaver KD, Thompson RC, Chambless LB, Mobley BC, Ihrie RA, Irish JM
(2020) Elife 9:
MeSH Terms: Algorithms, Glioblastoma, Humans, Pilot Projects, Tumor Cells, Cultured, Unsupervised Machine Learning
Added July 1, 2020
3 Communities
1 Members
0 Resources
6 MeSH Terms
Unsupervised machine learning for exploratory data analysis in imaging mass spectrometry.
Verbeeck N, Caprioli RM, Van de Plas R
(2020) Mass Spectrom Rev 39: 245-291
MeSH Terms: Animals, Data Analysis, Humans, Mass Spectrometry, Molecular Imaging, Unsupervised Machine Learning
Added March 3, 2020
0 Communities
1 Members
0 Resources
6 MeSH Terms