lodGWAS: a software package for genome-wide association analysis of biomarkers with a limit of detection

Ahmad Vaez, Peter J. van der Most, Bram P. Prins, Harold Snieder,Edwin van den Heuvel, Behrooz Z. Alizadeh, Ilja M. Nolte Bioinformatics, Volume 32, Issue 10, 15 May 2016, Pages 1552–1554, https://doi.org/10.1093/bioinformatics/btw021

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Stable gene signature selection for prediction of breast cancer recurrence using joint mutual information

Sehhati, Mohammadreza, Alireza Mehridehnavi, Hossein Rabbani, and Meraj Pourhossein.

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Improving Activity Prediction of Adenosine A2B Receptor Antagonists by Nonlinear Models

Fahimeh GhasemiAlireza MehriJorge Peña-GarcíaHelena den-HaanAlfonso Pérez-GarridoAfshin FassihiHoracio Péréz-Sánchez

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A novel feature ranking method for prediction of cancer stages using proteomics data

Ehsan Saghapour, Saeed Kermani , Mohammadreza Sehhati Published: September 21, 2017https://doi.org/10.1371/journal.pone.0184203

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Prediction of metastasis in advanced colorectal carcinomas using CGH data

Ehsan Saghapour 1- Mohammadreza Sehhati 2 1. Department of Biomedical Engineering, School of advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran 2. Department of Biomedical Engineering, School of advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran, Medical Imaging & Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, Iran Received 4 March 2017, Revised 30 May 2017, Accepted 20 June 2017, Available online 21 June 2017.

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An in silico Post-GWAS Analysis of C-Reactive Protein Loci Suggests an Important Role for Interferons

Vaez A; Jansen R; Prins BP; Hottenga JJ; de Geus EJ; Boomsma DI; Penninx BW; Nolte IM; Snieder H; Alizadeh BZ Circ Cardiovasc Genet. 2015; 8(3):487-97 (ISSN: 1942-3268)

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Using protein interaction database and support vector machine to improve gene signatures for prediction of breast cancer recurrence

Sehhati, Mohammad Reza, Alireza Mehri Dehnavi, Hossein Rabbani, and Shaghayegh Haghjoo Javanmard.

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