Additional file 3: of NIPTeR: an R package for fast and accurate trisomy prediction in non-invasive prenatal testing

Lennart Johansson (Contributor)
Hendrik Weerd (Contributor)
Eddy de Boer (Contributor)
Freerk van Dijk (Contributor)
Gerard te Meerman (Contributor)
Rolf Sijmons (Contributor)
Birgit Raddatz (Contributor)
Morris Swertz (Contributor)

Dataset

Description

Supplemental information comparing the NIPTeR chi-squared based variation reduction calculation with a manual calculation. (XLSX 67 kb)

Date made available	17-Dec-2018
Publisher	University of Groningen

Contact

[email protected]

DOI
10.6084/m9.figshare.7479071.v1

1 Article

NIPTeR: an R package for fast and accurate trisomy prediction in non-invasive prenatal testing
Johansson, L. F., de Weerd, H. A., de Boer, E. N., van Dijk, F., Te Meerman, G. J., Sijmons, R. H., Sikkema-Raddatz, B. & Swertz, M. A., 17-Dec-2018, In: Bmc Bioinformatics. 19, 1, 5 p., 531.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
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6 Citations (Scopus)

289 Downloads (Pure)

Cite this

Johansson, L. (Contributor), Weerd, H. (Contributor), de Boer, E. (Contributor), van Dijk, F. (Contributor), te Meerman, G. (Contributor), Sijmons, R. (Contributor), Raddatz, B. (Contributor), Swertz, M. (Contributor) (17-Dec-2018). Additional file 3: of NIPTeR: an R package for fast and accurate trisomy prediction in non-invasive prenatal testing. University of Groningen. 10.6084/m9.figshare.7479071.v1

Additional file 3: of NIPTeR: an R package for fast and accurate trisomy prediction in non-invasive prenatal testing

Description

Contact

DOI

Research output

NIPTeR: an R package for fast and accurate trisomy prediction in non-invasive prenatal testing

Cite this