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Kaddoura, Rachid, Alqutami, Fatma, Asbaita, Mohamed, Hachim, Mahmood (2023) In Silico Analysis of Publicly Available Transcriptomic Data for the Identification of Triple-Negative Breast Cancer-Specific Biomarkers. Life, 13 (2) 422 doi:10.3390/life13020422

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Reference TypeJournal (article/letter/editorial)
TitleIn Silico Analysis of Publicly Available Transcriptomic Data for the Identification of Triple-Negative Breast Cancer-Specific Biomarkers
JournalLife
AuthorsKaddoura, RachidAuthor
Alqutami, FatmaAuthor
Asbaita, MohamedAuthor
Hachim, MahmoodAuthor
Year2023 (February 2)Volume13
Issue2
PublisherMDPI AG
DOIdoi:10.3390/life13020422Search in ResearchGate
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Mindat Ref. ID15698566Long-form Identifiermindat:1:5:15698566:8
GUID0
Full ReferenceKaddoura, Rachid, Alqutami, Fatma, Asbaita, Mohamed, Hachim, Mahmood (2023) In Silico Analysis of Publicly Available Transcriptomic Data for the Identification of Triple-Negative Breast Cancer-Specific Biomarkers. Life, 13 (2) 422 doi:10.3390/life13020422
Plain TextKaddoura, Rachid, Alqutami, Fatma, Asbaita, Mohamed, Hachim, Mahmood (2023) In Silico Analysis of Publicly Available Transcriptomic Data for the Identification of Triple-Negative Breast Cancer-Specific Biomarkers. Life, 13 (2) 422 doi:10.3390/life13020422
In(2023, February) Life Vol. 13 (2) MDPI AG

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