 Connection
Laura Saba to Sequence Analysis, RNA
This is a "connection" page, showing publications Laura Saba has written about Sequence Analysis, RNA.
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Connection Strength |
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0.725 |
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Lusk R, Stene E, Banaei-Kashani F, Tabakoff B, Kechris K, Saba LM. Aptardi predicts polyadenylation sites in sample-specific transcriptomes using high-throughput RNA sequencing and DNA sequence. Nat Commun. 2021 03 12; 12(1):1652.
Score: 0.150
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Vestal BE, Moore CM, Wynn E, Saba L, Fingerlin T, Kechris K. MCMSeq: Bayesian hierarchical modeling of clustered and repeated measures RNA sequencing experiments. BMC Bioinformatics. 2020 Aug 28; 21(1):375.
Score: 0.145
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Rudra P, Shi WJ, Russell P, Vestal B, Tabakoff B, Hoffman P, Kechris K, Saba L. Predictive modeling of miRNA-mediated predisposition to alcohol-related phenotypes in mouse. BMC Genomics. 2018 Aug 29; 19(1):639.
Score: 0.126
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Russell PH, Vestal B, Shi W, Rudra PD, Dowell R, Radcliffe R, Saba L, Kechris K. miR-MaGiC improves quantification accuracy for small RNA-seq. BMC Res Notes. 2018 May 15; 11(1):296.
Score: 0.124
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Harrall KK, Kechris KJ, Tabakoff B, Hoffman PL, Hines LM, Tsukamoto H, Pravenec M, Printz M, Saba LM. Uncovering the liver's role in immunity through RNA co-expression networks. Mamm Genome. 2016 10; 27(9-10):469-84.
Score: 0.109
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Booher WC, Vanderlinden LA, Hall LA, Thomas AL, Evans LM, Saba LM, Ehringer MA. Hippocampal RNA sequencing in mice selectively bred for high and low activity. Genes Brain Behav. 2023 04; 22(2):e12832.
Score: 0.042
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Rudra P, Shi WJ, Vestal B, Russell PH, Odell A, Dowell RD, Radcliffe RA, Saba LM, Kechris K. Model based heritability scores for high-throughput sequencing data. BMC Bioinformatics. 2017 Mar 02; 18(1):143.
Score: 0.028
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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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