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Bioinformatics (Oxford, England)|March 18, 2006
Combining multi-species genomic data for microRNA identification using a Naive Bayes classifierMalik Yousef, Michael Nebozhyn, Hagit Shatkay, et al.Peerj|May 31, 2021
miRcorrNet: machine learning-based integration of miRNA and mRNA expression profiles, combined with feature grouping and rankingMalik Yousef, Gokhan Goy, Ramkrishna Mitra, et al.Computers in Biology and Medicine|April 12, 2025
A machine learning approach to differentiate stage IV from stage I colorectal cancerNaim Abu-Freha, Zaid Afawi, Miar Yousef, et al.Eukaryotic Cell|February 7, 2012
Delta-aminolevulinate-induced host-parasite porphyric disparity for selective photolysis of transgenic Leishmania in the phagolysosomes of mononuclear phagocytes: a potential novel platform for vaccine deliverySujoy Dutta, Celia Chang, Bala Krishna Kolli, et al.Plos One|July 21, 2012
Constitutive gene expression in monocytes from chronic HIV-1 infection overlaps with acute Toll-like receptor induced monocyte activation profilesBethsebah Gekonge, Malavika S Giri, Andrew V Kossenkov, et al.Bioinformatics (Oxford, England)|June 2, 2007
VISDA: an open-source caBIG analytical tool for data clustering and beyondJiajing Wang, Huai Li, Yitan Zhu, et al.Methods in Molecular Biology (Clifton, N.J.)|August 25, 2021
44 Current Challenges in miRNomicsBünyamin Akgül, Peter F Stadler, Liam J Hawkins, et al.Blood|January 13, 2006
Quantitative PCR on 5 genes reliably identifies CTCL patients with 5% to 99% circulating tumor cells with 90% accuracyMichael Nebozhyn, Andrey Loboda, Laszlo Kari, et al.Journal of Integrative Bioinformatics|March 24, 2021
Super-rapid race for saving lives by developing COVID-19 vaccinesAnusha Uttarilli, Sridhar Amalakanti, Phaneeswara-Rao Kommoju, et al.Journal of Leukocyte Biology|June 17, 2010
Increased metallothionein gene expression, zinc, and zinc-dependent resistance to apoptosis in circulating monocytes during HIV viremiaAndrea D Raymond, Bethsebah Gekonge, Malavika S Giri, et al.Pageof 7