An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Projects: bioconductor: pwrEWAS

https://packages.ecosyste.ms/registries/bioconductor.org/packages/pwrEWAS

A user-friendly tool for comprehensive power estimation for epigenome wide association studies (EWAS)
1 version
Latest release: almost 2 years ago
4,612 downloads total

Science Score: 98/100
Starting Score: 100 points
Bonuses:
  • +8 Academic maintainer emails
    1 maintainers with academic email addresses
Penalties:
  • -10 No science terms in description
    No scientific terms found in description

Very Likely Science (98)

Papers Mentioning pwrEWAS 5

10.1186/s12859-019-2804-7
pwrEWAS: a user-friendly tool for comprehensive power estimation for epigenome wide association studies (EWAS)
Cited by: 40
Author(s): Stefan Graw, Rosalyn Henn, Jeffrey Thompson, Devin C. Koestler
Software Mentions: 4
Published: about 6 years ago
10.3389/fcell.2020.561907
DNA Methylation Associated With Diabetic Kidney Disease in Blood-Derived DNA
Cited by: 19
Author(s): Laura Smyth, Christopher Patterson, Elizabeth Swan, Alexander P. Maxwell, Amy Jayne McKnight
Software Mentions: 3
Published: almost 5 years ago
10.3390/nu13051413
Individuals Diagnosed with Binge-Eating Disorder Have DNA Hypomethylated Sites in Genes of the Metabolic System: A Pilot Study
Cited by: 4
Author(s): Mariana Lizbeth Rodríguez-López, José Jaime Martínez‐Magaña, David Ruiz‐Ramos, Ana Rosa Sepúlveda García, Laura González, Carlos Alfonso Tóvilla-Zárate, Emmanuel Sarmiento, Isela Esther Juárez‐Rojop, Humberto Nicolini, Thelma Beatriz González‐Castro, Alma Delia Genis‐Mendoza
Software Mentions: 3
Published: over 4 years ago
10.1186/s13148-020-00967-6
Epigenetic profiling of Italian patients identified methylation sites associated with hereditary transthyretin amyloidosis
Cited by: 9
Author(s): Antonella De Lillo, Gita A. Pathak, Flavio De Angelis, Marco Di Girolamo, Marco Luigetti, Mario Sabatelli, Federico Perfetto, Sabrina Frusconi, Dario Manfellotto, Maria Fuciarelli, Renato Polimanti
Software Mentions: 2
Published: over 4 years ago
10.1038/s41598-020-77506-z
An epigenome-wide association study of metabolic syndrome and its components
Cited by: 27
Author(s): Marja-Liisa Nuotio, Natalia Pervjakova, Anni Joensuu, Ville Karhunen, Tero Hiekkalinna, Lili Milani, Johannes Kettunen, Marjo‐Riitta Järvelin, Pekka Jousilahti, Andres Metspalu, Veikko Salomaa, Kati Kristiansson, Markus Perola
Software Mentions: 1
Published: over 4 years ago