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Robert B Scharpf

Showing results (1-10 of 86) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|December 4, 2009
R classes and methods for SNP array dataRobert B Scharpf, Ingo Ruczinski
Arxiv|February 27, 2024
Evaluation of simulation methods for tumor subclonal reconstructionJiaying Lai, Yunzhou Liu, Robert B Scharpf, et al.
The Annals of Applied Statistics|July 18, 2009
Hidden Markov models for the assessment of chromosomal alterations using high-throughput SNP arraysRobert B Scharpf, Giovanni Parmigiani, Jonathan Pevsner, et al.
The International Journal of Biostatistics|March 13, 2010
Likelihood estimation of conjugacy relationships in linear models with applications to high-throughput genomicsBrian S Caffo, Dongmei Liu, Robert B Scharpf, et al.
Journal of the American Statistical Association|December 4, 2010
A Bayesian model for cross-study differential gene expressionRobert B Scharpf, Håkon Tjelmeland, Giovanni Parmigiani, et al.
Bioinformatics (Oxford, England)|January 6, 2007
SNPchip: R classes and methods for SNP array dataRobert B Scharpf, Jason C Ting, Jonathan Pevsner, et al.
Journal of the American Statistical Association|September 28, 2011
RejoinderRobert B Scharpf, Håkon Tjelmeland, Giovanni Parmigiani, et al.
Bioinformatics (Oxford, England)|December 1, 2018
Detection of rare disease variants in extended pedigrees using RVSThomas Sherman, Jack Fu, Robert B Scharpf, et al.
Bioinformatics Advances|July 1, 2024
Assessing the merits: an opinion on the effectiveness of simulation techniques in tumor subclonal reconstructionJiaying Lai, Yi Yang, Yunzhou Liu, et al.
BMC Genomics|September 15, 2022
Detecting antibody reactivities in Phage ImmunoPrecipitation Sequencing dataAthena Chen, Kai Kammers, H Benjamin Larman, et al.
Pageof 9

Showing results (1-10 of 86) with videos related to

Sort By:
Pageof 9
Methods in Molecular Biology (Clifton, N.J.)|December 4, 2009
R classes and methods for SNP array dataRobert B Scharpf, Ingo Ruczinski
Arxiv|February 27, 2024
Evaluation of simulation methods for tumor subclonal reconstructionJiaying Lai, Yunzhou Liu, Robert B Scharpf, et al.
The Annals of Applied Statistics|July 18, 2009
Hidden Markov models for the assessment of chromosomal alterations using high-throughput SNP arraysRobert B Scharpf, Giovanni Parmigiani, Jonathan Pevsner, et al.
The International Journal of Biostatistics|March 13, 2010
Likelihood estimation of conjugacy relationships in linear models with applications to high-throughput genomicsBrian S Caffo, Dongmei Liu, Robert B Scharpf, et al.
Journal of the American Statistical Association|December 4, 2010
A Bayesian model for cross-study differential gene expressionRobert B Scharpf, Håkon Tjelmeland, Giovanni Parmigiani, et al.
Bioinformatics (Oxford, England)|January 6, 2007
SNPchip: R classes and methods for SNP array dataRobert B Scharpf, Jason C Ting, Jonathan Pevsner, et al.
Journal of the American Statistical Association|September 28, 2011
RejoinderRobert B Scharpf, Håkon Tjelmeland, Giovanni Parmigiani, et al.
Bioinformatics (Oxford, England)|December 1, 2018
Detection of rare disease variants in extended pedigrees using RVSThomas Sherman, Jack Fu, Robert B Scharpf, et al.
Bioinformatics Advances|July 1, 2024
Assessing the merits: an opinion on the effectiveness of simulation techniques in tumor subclonal reconstructionJiaying Lai, Yi Yang, Yunzhou Liu, et al.
BMC Genomics|September 15, 2022
Detecting antibody reactivities in Phage ImmunoPrecipitation Sequencing dataAthena Chen, Kai Kammers, H Benjamin Larman, et al.
Pageof 9