Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Jeffrey T. Leek"'
Autor:
Candace Savonen, Carrie Wright, Ava M. Hoffman, John Muschelli, Katherine Cox, Frederick J. Tan, Jeffrey T. Leek
Publikováno v:
Journal of Statistics and Data Science Education, Pp 1-12 (2022)
Data science and informatics tools are developing at a blistering rate, but their users often lack the educational background or resources to efficiently apply the methods to their research. Training resources and vignettes that accompany these tools
Externí odkaz:
https://doaj.org/article/084665f4cef24904a64a47ed08af8062
Autor:
Christopher Wilks, Shijie C. Zheng, Feng Yong Chen, Rone Charles, Brad Solomon, Jonathan P. Ling, Eddie Luidy Imada, David Zhang, Lance Joseph, Jeffrey T. Leek, Andrew E. Jaffe, Abhinav Nellore, Leonardo Collado-Torres, Kasper D. Hansen, Ben Langmead
Publikováno v:
Genome Biology, Vol 22, Iss 1, Pp 1-40 (2021)
Abstract We present recount3, a resource consisting of over 750,000 publicly available human and mouse RNA sequencing (RNA-seq) samples uniformly processed by our new Monorail analysis pipeline. To facilitate access to the data, we provide the recoun
Externí odkaz:
https://doaj.org/article/8ffd406a24644e9286dbf6b7448b3e96
Publikováno v:
Journal of Statistics and Data Science Education, Vol 29, Iss 3, Pp 267-276 (2021)
Teaching data analysis by providing students with real-world problems and datasets allows students to integrate a variety of skills in a situation that mirrors how data analysis actually works. However, whole data analyses may obscure the individual
Externí odkaz:
https://doaj.org/article/70a9b846e2734cccbbf3aebe44177898
Autor:
Michael C. Schatz, Anthony A. Philippakis, Enis Afgan, Eric Banks, Vincent J. Carey, Robert J. Carroll, Alessandro Culotti, Kyle Ellrott, Jeremy Goecks, Robert L. Grossman, Ira M. Hall, Kasper D. Hansen, Jonathan Lawson, Jeffrey T. Leek, Anne O’Donnell Luria, Stephen Mosher, Martin Morgan, Anton Nekrutenko, Brian D. O’Connor, Kevin Osborn, Benedict Paten, Candace Patterson, Frederick J. Tan, Casey Overby Taylor, Jennifer Vessio, Levi Waldron, Ting Wang, Kristin Wuichet, Alexander Baumann, Andrew Rula, Anton Kovalsy, Clare Bernard, Derek Caetano-Anollés, Geraldine A. Van der Auwera, Justin Canas, Kaan Yuksel, Kate Herman, M. Morgan Taylor, Marianie Simeon, Michael Baumann, Qi Wang, Robert Title, Ruchi Munshi, Sushma Chaluvadi, Valerie Reeves, William Disman, Salin Thomas, Allie Hajian, Elizabeth Kiernan, Namrata Gupta, Trish Vosburg, Ludwig Geistlinger, Marcel Ramos, Sehyun Oh, Dave Rogers, Frances McDade, Mim Hastie, Nitesh Turaga, Alexander Ostrovsky, Alexandru Mahmoud, Dannon Baker, Dave Clements, Katherine E.L. Cox, Keith Suderman, Nataliya Kucher, Sergey Golitsynskiy, Samantha Zarate, Sarah J. Wheelan, Kai Kammers, Ana Stevens, Carolyn Hutter, Christopher Wellington, Elena M. Ghanaim, Ken L. Wiley, Jr., Shurjo K. Sen, Valentina Di Francesco, Deni s Yuen, Brian Walsh, Luke Sargent, Vahid Jalili, John Chilton, Lori Shepherd, B.J. Stubbs, Ash O’Farrell, Benton A. Vizzier, Jr., Charles Overbeck, Charles Reid, David Charles Steinberg, Elizabeth A. Sheets, Julian Lucas, Lon Blauvelt, Louise Cabansay, Noah Warren, Brian Hannafious, Tim Harris, Radhika Reddy, Eric Torstenson, M. Katie Banasiewicz, Haley J. Abel, Jason Walker
Publikováno v:
Cell Genomics, Vol 2, Iss 1, Pp 100085- (2022)
Summary: The NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL; https://anvilproject.org) was developed to address a widespread community need for a unified computing environment for genomics data storage, managemen
Externí odkaz:
https://doaj.org/article/95ac1623e901491c821d128f529da364
Autor:
Princy Parsana, Claire Ruberman, Andrew E. Jaffe, Michael C. Schatz, Alexis Battle, Jeffrey T. Leek
Publikováno v:
Genome Biology, Vol 20, Iss 1, Pp 1-6 (2019)
Abstract Gene co-expression networks capture biological relationships between genes and are important tools in predicting gene function and understanding disease mechanisms. We show that technical and biological artifacts in gene expression data conf
Externí odkaz:
https://doaj.org/article/40fe5e619182489ba2397e77666f3ae3
Autor:
Simina M. Boca, Jeffrey T. Leek
Publikováno v:
PeerJ, Vol 6, p e6035 (2018)
Modern scientific studies from many diverse areas of research abound with multiple hypothesis testing concerns. The false discovery rate (FDR) is one of the most commonly used approaches for measuring and controlling error rates when performing multi
Externí odkaz:
https://doaj.org/article/a43f741641dc4fac83bcf452fe7f11a0
Publikováno v:
Contemporary Clinical Trials Communications, Vol 3, Iss C, Pp 48-54 (2016)
Background: The hope that genomic biomarkers would dramatically and immediately improve care for common, complex diseases has been tempered by slow progress in their translation beyond bioinformatics. We propose a novel use of genomic information whe
Externí odkaz:
https://doaj.org/article/01b3720f039f4831b091e45f29e0c788
Publikováno v:
PeerJ, Vol 6, p e5597 (2018)
Most researchers do not deliberately claim causal results in an observational study. But do we lead our readers to draw a causal conclusion unintentionally by explaining why significant correlations and relationships may exist? Here we perform a rand
Externí odkaz:
https://doaj.org/article/7509d50a5011472791ec1807d89b8683
Publikováno v:
F1000Research, Vol 4 (2016)
regionReport is an R package for generating detailed interactive reports from region-level genomic analyses as well as feature-level RNA-seq. The report includes quality-control checks, an overview of the results, an interactive table of the genomic
Externí odkaz:
https://doaj.org/article/d0e6c44c523a4c1988775f6f24c8a2c3
Publikováno v:
PeerJ, Vol 2, p e561 (2014)
Batch effects are responsible for the failure of promising genomic prognostic signatures, major ambiguities in published genomic results, and retractions of widely-publicized findings. Batch effect corrections have been developed to remove these arti
Externí odkaz:
https://doaj.org/article/9349d45564594fd89f1b6c4ec07c2cf2