Application of a combination of a knowledge-based algorithm and 2-stage screening to hypothesis-free genomic data on irinotecan-treated patients for identification of a candidate single nucleotide polymorphism related to an adverse effect.

MLA

Hiro Takahashi, et al. “Application of a Combination of a Knowledge-Based Algorithm and 2-Stage Screening to Hypothesis-Free Genomic Data on Irinotecan-Treated Patients for Identification of a Candidate Single Nucleotide Polymorphism Related to an Adverse Effect.” PLoS ONE, vol. 9, no. 8, Jan. 2014, p. e105160. EBSCOhost, https://doi.org/10.1371/journal.pone.0105160.

APA

Hiro Takahashi, Kimie Sai, Yoshiro Saito, Nahoko Kaniwa, Yasuhiro Matsumura, Tetsuya Hamaguchi, Yasuhiro Shimada, Atsushi Ohtsu, Takayuki Yoshino, Toshihiko Doi, Haruhiro Okuda, Risa Ichinohe, Anna Takahashi, Ayano Doi, Yoko Odaka, Misuzu Okuyama, Nagahiro Saijo, Jun-ichi Sawada, Hiromi Sakamoto, & Teruhiko Yoshida. (2014). Application of a combination of a knowledge-based algorithm and 2-stage screening to hypothesis-free genomic data on irinotecan-treated patients for identification of a candidate single nucleotide polymorphism related to an adverse effect. PLoS ONE, 9(8), e105160. https://doi.org/10.1371/journal.pone.0105160

Chicago

Hiro Takahashi, Kimie Sai, Yoshiro Saito, Nahoko Kaniwa, Yasuhiro Matsumura, Tetsuya Hamaguchi, Yasuhiro Shimada, et al. 2014. “Application of a Combination of a Knowledge-Based Algorithm and 2-Stage Screening to Hypothesis-Free Genomic Data on Irinotecan-Treated Patients for Identification of a Candidate Single Nucleotide Polymorphism Related to an Adverse Effect.” PLoS ONE 9 (8): e105160. doi:10.1371/journal.pone.0105160.