Kenost C - Search Results

1

binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions.

Rachid Zaim S, Kenost C, Berghout J, Chiu W, Wilson L, Zhang HH, Lussier YA. Rachid Zaim S, et al. Among authors: kenost c. BMC Bioinformatics. 2020 Aug 28;21(1):374. doi: 10.1186/s12859-020-03718-9. BMC Bioinformatics. 2020. PMID: 32859146 Free PMC article.

2

Correction to: binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions.

Zaim SR, Kenost C, Berghout J, Chiu W, Wilson L, Zhang HH, Lussier YA. Zaim SR, et al. Among authors: kenost c. BMC Bioinformatics. 2020 Nov 2;21(1):495. doi: 10.1186/s12859-020-03822-w. BMC Bioinformatics. 2020. PMID: 33138767 Free PMC article.

3

kMEn: Analyzing noisy and bidirectional transcriptional pathway responses in single subjects.

Li Q, Schissler AG, Gardeux V, Berghout J, Achour I, Kenost C, Li H, Zhang HH, Lussier YA. Li Q, et al. Among authors: kenost c. J Biomed Inform. 2017 Feb;66:32-41. doi: 10.1016/j.jbi.2016.12.009. Epub 2016 Dec 19. J Biomed Inform. 2017. PMID: 28007582 Free PMC article.

4

N-of-1-pathways MixEnrich: advancing precision medicine via single-subject analysis in discovering dynamic changes of transcriptomes.

Li Q, Schissler AG, Gardeux V, Achour I, Kenost C, Berghout J, Li H, Zhang HH, Lussier YA. Li Q, et al. Among authors: kenost c. BMC Med Genomics. 2017 May 24;10(Suppl 1):27. doi: 10.1186/s12920-017-0263-4. BMC Med Genomics. 2017. PMID: 28589853 Free PMC article.

5

Developing a 'personalome' for precision medicine: emerging methods that compute interpretable effect sizes from single-subject transcriptomes.

Vitali F, Li Q, Schissler AG, Berghout J, Kenost C, Lussier YA. Vitali F, et al. Among authors: kenost c. Brief Bioinform. 2019 May 21;20(3):789-805. doi: 10.1093/bib/bbx149. Brief Bioinform. 2019. PMID: 29272327 Free PMC article. Review.

6

Novel disease syndromes unveiled by integrative multiscale network analysis of diseases sharing molecular effectors and comorbidities.

Li H, Fan J, Vitali F, Berghout J, Aberasturi D, Li J, Wilson L, Chiu W, Pumarejo M, Han J, Kenost C, Koripella PC, Pouladi N, Billheimer D, Bedrick EJ, Lussier YA. Li H, et al. Among authors: kenost c. BMC Med Genomics. 2018 Dec 31;11(Suppl 6):112. doi: 10.1186/s12920-018-0428-9. BMC Med Genomics. 2018. PMID: 30598089 Free PMC article.

7

Evaluating single-subject study methods for personal transcriptomic interpretations to advance precision medicine.

Rachid Zaim S, Kenost C, Berghout J, Vitali F, Zhang HH, Lussier YA. Rachid Zaim S, et al. Among authors: kenost c. BMC Med Genomics. 2019 Jul 11;12(Suppl 5):96. doi: 10.1186/s12920-019-0513-8. BMC Med Genomics. 2019. PMID: 31296218 Free PMC article.

8

Personalized beyond Precision: Designing Unbiased Gold Standards to Improve Single-Subject Studies of Personal Genome Dynamics from Gene Products.

Rachid Zaim S, Kenost C, Zhang HH, Lussier YA. Rachid Zaim S, et al. Among authors: kenost c. J Pers Med. 2020 Dec 31;11(1):24. doi: 10.3390/jpm11010024. J Pers Med. 2020. PMID: 33396440 Free PMC article.

9

'Single-subject studies'-derived analyses unveil altered biomechanisms between very small cohorts: implications for rare diseases.

Aberasturi D, Pouladi N, Zaim SR, Kenost C, Berghout J, Piegorsch WW, Lussier YA. Aberasturi D, et al. Among authors: kenost c. Bioinformatics. 2021 Jul 12;37(Suppl_1):i67-i75. doi: 10.1093/bioinformatics/btab290. Bioinformatics. 2021. PMID: 34252934 Free PMC article.

10

Interpretation of 'Omics dynamics in a single subject using local estimates of dispersion between two transcriptomes.

Li Q, Zaim SR, Aberasturi D, Berghout J, Li H, Vitali F, Kenost C, Zhang HH, Lussier YA. Li Q, et al. Among authors: kenost c. AMIA Annu Symp Proc. 2020 Mar 4;2019:582-591. eCollection 2019. AMIA Annu Symp Proc. 2020. PMID: 32308852 Free PMC article.

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