Analyzing Gene-Frequency Data When the Effective Population Size Is Finite

Por Wilson, Susan R.
Publicado em 1980

Mass spectrometry-based protein identification by integrating de novo sequencing with database searching

Por Wang, Penghao, Wilson, Susan R
Publicado em 2013

h-Profile plots for the discovery and exploration of patterns in gene expression data with an application to time course data

Por Pittelkow, Yvonne E, Wilson, Susan R
Publicado em 2007

Simpler Evaluation of Predictions and Signature Stability for Gene Expression Data

Por Pittelkow, Yvonne E., Wilson, Susan R.
Publicado em 2009

Cathepsin K Activity-dependent Regulation of Osteoclast Actin Ring Formation and Bone Resorption

Por Wilson, Susan R., Peters, Christoph, Saftig, Paul, Brömme, Dieter
Publicado em 2009

Error estimates for the analysis of differential expression from RNA-seq count data

Por Burden, Conrad J., Qureshi, Sumaira E., Wilson, Susan R.
Publicado em 2014

Estimation of the methylation pattern distribution from deep sequencing data

Por Lin, Peijie, Forêt, Sylvain, Wilson, Susan R, Burden, Conrad J
Publicado no BMC Bioinformatics (2015)

Uncertainty of Measurement: What it is and What it Should Be

Por Badrick, Tony, Hawkins, Robert C., Wilson, Susan R., Hickman., Peter E.
Publicado em 2005

LASSO model selection with post-processing for a genome-wide association study data set

Por Motyer, Allan J, McKendry, Chris, Galbraith, Sally, Wilson, Susan R
Publicado em 2011

Impairment of organ-specific T cell negative selection by diabetes susceptibility genes: genomic analysis by mRNA profiling

Por Liston, Adrian, Hardy, Kristine, Pittelkow, Yvonne, Wilson, Susan R, Makaroff, Lydia E, Fahrer, Aude M, Goodnow, Christopher C
Publicado em 2007

Efficient experimental design and analysis strategies for the detection of differential expression using RNA-Sequencing

Por Robles, José A, Qureshi, Sumaira E, Stephen, Stuart J, Wilson, Susan R, Burden, Conrad J, Taylor, Jennifer M
Publicado em 2012

Vascular microarray profiling in two models of hypertension identifies caveolin-1, Rgs2 and Rgs5 as antihypertensive targets

Por Grayson, T Hilton, Ohms, Stephen J, Brackenbury, Therese D, Meaney, Kate R, Peng, Kaiman, Pittelkow, Yvonne E, Wilson, Susan R, Sandow, Shaun L, Hill, Caryl E
Publicado em 2007