·
Feb. 12: Chagoyen M and Pazos F. (2010) Quantifying the biological
significance of gene ontology biological processes—implications for the
analysis of systems-wide data. Bioinformatics 26: 378-384.
·
Feb. 19: Webb-Robertson B-J M, Mccue LA,
Beagley N, McDermott JE, Wunschel DS, Varnum SM, Hu JZ, Isern NG, Buchko
GW, Mcateer K, and Pounds JG (2009) A Bayesian integration model of
high-throughput proteomics and metabolomics data for improved early
detection of microbial infections. Pacific Symposium on
Biocomputing 14: 451-463.
·
Feb. 26: Wu MC and Lin X (2009) Prior biological knowledge-based
approaches for the analysis of genome-wide expression profiles using gene
sets and pathways. Statistical Methods in Medical
Research 18: 577-593.
·
March 5: Yang C, Wan X, Yang Q, Xue H and Yu
W (2010) Identifying main effects and epistatic interactions from
large-scale SNP data via adaptive group lasso. BMC Bioinformatics
11 (Suppl I): S18.
·
March 12: Wasserman L and Roeder K (2009)
High-dimensional variable selection. The Annals of Statistics 37: 2178-2201.
·
March 19: Meinshausen N, Meier L and Buhlmann
P (2009) p-values for high-dimensional regression. JASA 104: 1671-1681.
·
March 26: Li F and Zhang NR (2010) Bayesian Variable Selection in
Structured High-Dimensional Covariate Spaces with Applications in
Genomics.
·
April 7: Zhang Z et al. (2010). Mixed linear
model approach adapted for genome-wide associated studies. Nature
Genetics 42: 355-360.
·
April 16: Efron B (2009). Empirical Bayes estimates for
large-scale prediction problems. JASA 104: 1015-1028.
·
April 23: Yuan M, Joseph VR and Zou H (2009).
Structured variable selection and estimation. The Annals of
Applied Statistics 3: 1738-1757.
·
April 30: Lynch M and Ritland K (1999). Estimation of pairwise relatedness
with molecular markers. Genetics 152: 1753-1766.
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