Yousef M - Search Results

1

COVIDium: a COVID-19 resource compendium.

Satyam R, Yousef M, Qazi S, Bhat AM, Raza K. Satyam R, et al. Among authors: yousef m. Database (Oxford). 2021 Sep 29;2021:baab057. doi: 10.1093/database/baab057. Database (Oxford). 2021. PMID: 34585731 Free PMC article.

2

Clinical presentation of COVID-19 - a model derived by a machine learning algorithm.

Yousef M, Showe LC, Ben Shlomo I. Yousef M, et al. J Integr Bioinform. 2021 Mar 4;18(1):3-8. doi: 10.1515/jib-2020-0050. J Integr Bioinform. 2021. PMID: 33675198 Free PMC article.

3

Super-rapid race for saving lives by developing COVID-19 vaccines.

Uttarilli A, Amalakanti S, Kommoju PR, Sharma S, Goyal P, Manjunath GK, Upadhayay V, Parveen A, Tandon R, Prasad KS, Dakal TC, Ben Shlomo I, Yousef M, Neerathilingam M, Kumar A. Uttarilli A, et al. Among authors: yousef m. J Integr Bioinform. 2021 Mar 25;18(1):27-43. doi: 10.1515/jib-2021-0002. J Integr Bioinform. 2021. PMID: 33761582 Free PMC article. Review.

4

TextNetTopics: Text Classification Based Word Grouping as Topics and Topics' Scoring.

Yousef M, Voskergian D. Yousef M, et al. Front Genet. 2022 Jun 20;13:893378. doi: 10.3389/fgene.2022.893378. eCollection 2022. Front Genet. 2022. PMID: 35795215 Free PMC article.

Thus our approach performs topic selections rather than words selection. TextNetTopics is based on the generic approach entitled G-S-M (Grouping, Scoring, and Modeling), developed by Yousef and his colleagues and used mainly in biological data. ...

Thus our approach performs topic selections rather than words selection. TextNetTopics is based on the generic approach entitled G-S-M …

5

Computational Prediction of Functional MicroRNA-mRNA Interactions.

Saçar Demirci MD, Yousef M, Allmer J. Saçar Demirci MD, et al. Among authors: yousef m. Methods Mol Biol. 2019;1912:175-196. doi: 10.1007/978-1-4939-8982-9_7. Methods Mol Biol. 2019. PMID: 30635894

6

Quantitative PCR on 5 genes reliably identifies CTCL patients with 5% to 99% circulating tumor cells with 90% accuracy.

Nebozhyn M, Loboda A, Kari L, Rook AH, Vonderheid EC, Lessin S, Berger C, Edelson R, Nichols C, Yousef M, Gudipati L, Shang M, Showe MK, Showe LC. Nebozhyn M, et al. Among authors: yousef m. Blood. 2006 Apr 15;107(8):3189-96. doi: 10.1182/blood-2005-07-2813. Epub 2006 Jan 10. Blood. 2006. PMID: 16403914 Free PMC article.

7

Combining multi-species genomic data for microRNA identification using a Naive Bayes classifier.

Yousef M, Nebozhyn M, Shatkay H, Kanterakis S, Showe LC, Showe MK. Yousef M, et al. Bioinformatics. 2006 Jun 1;22(11):1325-34. doi: 10.1093/bioinformatics/btl094. Epub 2006 Mar 16. Bioinformatics. 2006. PMID: 16543277

8

Recursive cluster elimination (RCE) for classification and feature selection from gene expression data.

Yousef M, Jung S, Showe LC, Showe MK. Yousef M, et al. BMC Bioinformatics. 2007 May 2;8:144. doi: 10.1186/1471-2105-8-144. BMC Bioinformatics. 2007. PMID: 17474999 Free PMC article.

9

VISDA: an open-source caBIG analytical tool for data clustering and beyond.

Wang J, Li H, Zhu Y, Yousef M, Nebozhyn M, Showe M, Showe L, Xuan J, Clarke R, Wang Y. Wang J, et al. Among authors: yousef m. Bioinformatics. 2007 Aug 1;23(15):2024-7. doi: 10.1093/bioinformatics/btm290. Epub 2007 May 31. Bioinformatics. 2007. PMID: 17540678

10

Naïve Bayes for microRNA target predictions--machine learning for microRNA targets.

Yousef M, Jung S, Kossenkov AV, Showe LC, Showe MK. Yousef M, et al. Bioinformatics. 2007 Nov 15;23(22):2987-92. doi: 10.1093/bioinformatics/btm484. Epub 2007 Oct 8. Bioinformatics. 2007. PMID: 17925304

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