Jeffrey T. Leek

Orcid: 0000-0002-2873-2671

According to our database1, Jeffrey T. Leek authored at least 31 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2024
From Narratives to Numbers: Valid Inference Using Language Model Predictions from Verbal Autopsy Narratives.
CoRR, 2024

Do We Really Even Need Data?
CoRR, 2024

2023
Evaluation of software impact designed for biomedical research: Are we measuring what's meaningful?
CoRR, 2023

Motivation, inclusivity, and realism should drive data science education.
CoRR, 2023

2022
Open-source Tools for Training Resources - OTTR.
CoRR, 2022

Diversifying the Genomic Data Science Research Community.
CoRR, 2022

2021
Linking open-source code commits and MOOC grades to evaluate massive online open peer review.
CoRR, 2021

2020
Tools for Analyzing R Code the Tidy Way.
R J., 2020

ari: The Automated R Instructor.
R J., 2020

2019
Analysis of Student Behavior Using the R Package crsra.
J. Learn. Anal., July, 2019

2017
Rail-RNA: scalable analysis of RNA-seq splicing and coverage.
Bioinform., 2017

2016
Erratum to: Practical impacts of genomic data "cleaning" on biological discovery using surrogate variable analysis.
BMC Bioinform., 2016

Rail-dbGaP: analyzing dbGaP-protected data in the cloud with Amazon Elastic MapReduce.
Bioinform., 2016

BatchQC: interactive software for evaluating sample and batch effects in genomic data.
Bioinform., 2016

2015
Discussion of "visualizing statistical models: Removing the blindfold".
Stat. Anal. Data Min., 2015

Statistics: <i>P</i> values are just the tip of the iceberg.
Nat., 2015

regionReport: Interactive reports for region-based analyses.
F1000Research, 2015

Reproducible Research Can Still Be Wrong: Adopting a Prevention Approach.
CoRR, 2015

Practical impacts of genomic data "cleaning" on biological discovery using surrogate variable analysis.
BMC Bioinform., 2015

Test set bias affects reproducibility of gene signatures.
Bioinform., 2015

<i>Polyester</i>: simulating RNA-seq datasets with differential transcript expression.
Bioinform., 2015

2014
Preserving biological heterogeneity with a permuted surrogate variable analysis for genomics batch correction.
Bioinform., 2014

2013
SVAw - a web-based application tool for automated surrogate variable analysis of gene expression studies.
Source Code Biol. Medicine, 2013

Gene set bagging for estimating the probability a statistically significant result will replicate.
BMC Bioinform., 2013

2012
A statistical approach to selecting and confirming validation targets in -omics experiments.
BMC Bioinform., 2012

Gene expression anti-profiles as a basis for accurate universal cancer signatures.
BMC Bioinform., 2012

The sva package for removing batch effects and other unwanted variation in high-throughput experiments.
Bioinform., 2012

2011
ReCount: A multi-experiment resource of analysis-ready RNA-seq gene count datasets.
BMC Bioinform., 2011

A computationally efficient modular optimal discovery procedure.
Bioinform., 2011

2009
The <tt>tspair</tt> package for finding top scoring pair classifiers in <tt>R</tt>.
Bioinform., 2009

2006
EDGE: extraction and analysis of differential gene expression.
Bioinform., 2006


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