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Author: Jeffrey T Leek

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  • All-time downloads: 57,044 (rank: 584 out of 363,094)
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    • bioinformatics: 31,615 (rank: 75 out of 31,389)
    • genomics: 13,169 (rank: 893 out of 39,210)
    • neuroscience: 2,212 (rank: 6,471 (tie) out of 60,999)
    • scientific communication and education: 821 (rank: 874 (tie) out of 3,026)

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Preprints

Flexible analysis of transcriptome assemblies with Ballgown

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A statistical definition for reproducibility and replicability

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recount: A large-scale resource of analysis-ready RNA-seq expression data

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Rail-RNA: Scalable analysis of RNA-seq splicing and coverage

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svaseq: removing batch effects and other unwanted noise from sequencing data

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Human splicing diversity across the Sequence Read Archive

genomics more details view paper
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Flexible expressed region analysis for RNA-seq with derfinder

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Polyester: simulating RNA-seq datasets with differential transcript expression

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Developmental And Genetic Regulation Of The Human Cortex Transcriptome In Schizophrenia

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    • In neuroscience: 408 out of 15,008
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Addressing confounding artifacts in reconstruction of gene co-expression networks

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A direct approach to estimating false discovery rates conditional on covariates

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RNA-seq transcript quantification from reduced-representation data in recount2

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A framework for RNA quality correction in differential expression analysis

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Improving the value of public RNA-seq expression data by phenotype prediction

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recount-brain: a curated repository of human brain RNA-seq datasets metadata

genomics more details view paper
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    • Site-wide: 16,283 out of 84,323

Avoiding test set bias with rank-based prediction

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crsra: A package for Cleaning and Analyzing Coursera Research Export Data

scientific communication and education more details view paper
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Recounting the FANTOM Cage Associated Transcriptome

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Post-prediction inference

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Strategies for cellular deconvolution in human brain RNA sequencing data

genomics more details view paper
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regionReport: Interactive reports for region-based analyses

bioinformatics more details view paper
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Measuring the Contribution of Genomic Predictors to Improving Estimator Precision in Randomized trials

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