Standard
In defense of statistical methods for detecting positive selection. / Yang, Ziheng; Nielsen, Rasmus; Goldman, Nick.
In:
Proceedings of the National Academy of Science of the United States of America, Vol. 106, No. 36, 2009, p. E95.
Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
Yang, Z
, Nielsen, R & Goldman, N 2009, '
In defense of statistical methods for detecting positive selection',
Proceedings of the National Academy of Science of the United States of America, vol. 106, no. 36, pp. E95.
https://doi.org/10.1073/pnas.0904550106
APA
Yang, Z.
, Nielsen, R., & Goldman, N. (2009).
In defense of statistical methods for detecting positive selection.
Proceedings of the National Academy of Science of the United States of America,
106(36), E95.
https://doi.org/10.1073/pnas.0904550106
Vancouver
Yang Z
, Nielsen R, Goldman N.
In defense of statistical methods for detecting positive selection.
Proceedings of the National Academy of Science of the United States of America. 2009;106(36):E95.
https://doi.org/10.1073/pnas.0904550106
Author
Yang, Ziheng ; Nielsen, Rasmus ; Goldman, Nick. / In defense of statistical methods for detecting positive selection. In: Proceedings of the National Academy of Science of the United States of America. 2009 ; Vol. 106, No. 36. pp. E95.
Bibtex
@article{cb35f180a52411df928f000ea68e967b,
title = "In defense of statistical methods for detecting positive selection",
abstract = "Udgivelsesdato: 2009-Sep-8",
author = "Ziheng Yang and Rasmus Nielsen and Nick Goldman",
note = "Keywords: Computer Simulation; Likelihood Functions; Models, Genetic; Research Design; Selection, Genetic; Statistics as Topic",
year = "2009",
doi = "10.1073/pnas.0904550106",
language = "English",
volume = "106",
pages = "E95",
journal = "Proceedings of the National Academy of Sciences of the United States of America",
issn = "0027-8424",
publisher = "The National Academy of Sciences of the United States of America",
number = "36",
}
RIS
TY - JOUR
T1 - In defense of statistical methods for detecting positive selection
AU - Yang, Ziheng
AU - Nielsen, Rasmus
AU - Goldman, Nick
N1 - Keywords: Computer Simulation; Likelihood Functions; Models, Genetic; Research Design; Selection, Genetic; Statistics as Topic
PY - 2009
Y1 - 2009
N2 - Udgivelsesdato: 2009-Sep-8
AB - Udgivelsesdato: 2009-Sep-8
U2 - 10.1073/pnas.0904550106
DO - 10.1073/pnas.0904550106
M3 - Journal article
C2 - 19805241
VL - 106
SP - E95
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
SN - 0027-8424
IS - 36
ER -