 Connection
Brooke Fridley to Sequence Analysis, RNA
This is a "connection" page, showing publications Brooke Fridley has written about Sequence Analysis, RNA.
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Connection Strength |
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2.329 |
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Yu X, Abbas-Aghababazadeh F, Chen YA, Fridley BL. Statistical and Bioinformatics Analysis of Data from Bulk and Single-Cell RNA Sequencing Experiments. Methods Mol Biol. 2021; 2194:143-175.
Score: 0.739
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Noel-MacDonnell JR, Usset J, Goode EL, Fridley BL. Assessment of data transformations for model-based clustering of RNA-Seq data. PLoS One. 2018; 13(2):e0191758.
Score: 0.607
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Fridley BL, Jenkins GD, Grill DE, Kennedy RB, Poland GA, Oberg AL. Soft truncation thresholding for gene set analysis of RNA-seq data: application to a vaccine study. Sci Rep. 2013 Oct 09; 3:2898.
Score: 0.448
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Ospina O, Soupir A, Fridley BL. A Primer on Preprocessing, Visualization, Clustering, and Phenotyping of Barcode-Based Spatial Transcriptomics Data. Methods Mol Biol. 2023; 2629:115-140.
Score: 0.212
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Abbas-Aghababazadeh F, Li Q, Fridley BL. Comparison of normalization approaches for gene expression studies completed with high-throughput sequencing. PLoS One. 2018; 13(10):e0206312.
Score: 0.159
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Graw S, Meier R, Minn K, Bloomer C, Godwin AK, Fridley B, Vlad A, Beyerlein P, Chien J. Robust gene expression and mutation analyses of RNA-sequencing of formalin-fixed diagnostic tumor samples. Sci Rep. 2015 Jul 23; 5:12335.
Score: 0.127
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Larson NB, Fogarty ZC, Larson MC, Kalli KR, Lawrenson K, Gayther S, Fridley BL, Goode EL, Winham SJ. An integrative approach to assess X-chromosome inactivation using allele-specific expression with applications to epithelial ovarian cancer. Genet Epidemiol. 2017 12; 41(8):898-914.
Score: 0.037
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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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