Genotype Imputation by Marchini, J

On bias in the estimation of autocorrelations for fMRI voxel time-series analysis. by Marchini, J, Smith, S

Modeling interactions with known risk loci-a Bayesian model averaging approach. by Ferreira, T, Marchini, J

Comparing methods of analyzing fMRI statistical parametric maps. by Marchini, J, Presanis, A

Genotype calling and phasing using next-generation sequencing reads and a haplotype scaffold. by Menelaou, A, Marchini, J

Comparing algorithms for genotype imputation. by Marchini, J, Howie, B

Multiway Admixture Deconvolution Using Phased or Unphased Ancestral Panels by Churchhouse, C, Marchini, J

Genotype imputation for genome-wide association studies. by Marchini, J, Howie, B

A new statistical approach to detecting significant activation in functional MRI. by Marchini, J, Ripley, B

Multiway admixture deconvolution using phased or unphased ancestral panels. by Churchhouse, C, Marchini, J

Integrating sequence and array data to create an improved 1000 Genomes Project haplotype reference panel. by Delaneau, O, Marchini, J

Joint Genotype Calling With Array and Sequence Data by O'Connell, J, Marchini, J

Joint genotype calling with array and sequence data. by O'Connell, J, Marchini, J

Genotype imputation with thousands of genomes. by Howie, B, Marchini, J, Stephens, M

Intra-individual variation in resting metabolic rate during the menstrual cycle. by Henry, C, Lightowler, H, Marchini, J

Improved whole-chromosome phasing for disease and population genetic studies. by Delaneau, O, Zagury, J, Marchini, J

A flexible and accurate genotype imputation method for the next generation of genome-wide association studies. by Howie, B, Donnelly, P, Marchini, J

HAPGEN2: simulation of multiple disease SNPs. by Su, Z, Marchini, J, Donnelly, P

Introduction to the Special Issue: Genome-Wide Association Studies by Zheng, G, Marchini, J, Geller, N

Genome-wide strategies for detecting multiple loci that influence complex diseases. by Marchini, J, Donnelly, P, Cardon, L