 Connection
Yasir Rahmatallah to Gene Expression Profiling
This is a "connection" page, showing publications Yasir Rahmatallah has written about Gene Expression Profiling.
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Connection Strength |
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1.637 |
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Rahmatallah Y, Zybailov B, Emmert-Streib F, Glazko G. GSAR: Bioconductor package for Gene Set analysis in R. BMC Bioinformatics. 2017 Jan 24; 18(1):61.
Score: 0.400
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Rahmatallah Y, Emmert-Streib F, Glazko G. Comparative evaluation of gene set analysis approaches for RNA-Seq data. BMC Bioinformatics. 2014 Dec 05; 15:397.
Score: 0.345
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Rahmatallah Y, Emmert-Streib F, Glazko G. Gene Sets Net Correlations Analysis (GSNCA): a multivariate differential coexpression test for gene sets. Bioinformatics. 2014 Feb 01; 30(3):360-8.
Score: 0.322
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Rahmatallah Y, Emmert-Streib F, Glazko G. Gene set analysis for self-contained tests: complex null and specific alternative hypotheses. Bioinformatics. 2012 Dec 01; 28(23):3073-80.
Score: 0.297
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Mousavian Z, Nowzari-Dalini A, Stam RW, Rahmatallah Y, Masoudi-Nejad A. Network-based expression analysis reveals key genes related to glucocorticoid resistance in infant acute lymphoblastic leukemia. Cell Oncol (Dordr). 2017 Feb; 40(1):33-45.
Score: 0.098
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Rahmatallah Y, Emmert-Streib F, Glazko G. Gene set analysis approaches for RNA-seq data: performance evaluation and application guideline. Brief Bioinform. 2016 05; 17(3):393-407.
Score: 0.091
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Mousavian Z, Nowzari-Dalini A, Rahmatallah Y, Masoudi-Nejad A. Differential network analysis and protein-protein interaction study reveals active protein modules in glucocorticoid resistance for infant acute lymphoblastic leukemia. Mol Med. 2019 08 01; 25(1):36.
Score: 0.030
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Thomas J, Kim HR, Rahmatallah Y, Wiggins G, Yang Q, Singh R, Glazko G, Mukherjee A. RNA-seq reveals differentially expressed genes in rice (Oryza sativa) roots during interactions with plant-growth promoting bacteria, Azospirillum brasilense. PLoS One. 2019; 14(5):e0217309.
Score: 0.029
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Glazko G, Rahmatallah Y, Zybailov B, Emmert-Streib F. Extracting the Strongest Signals from Omics Data: Differentially Expressed Pathways and Beyond. Methods Mol Biol. 2017; 1613:125-159.
Score: 0.025
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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