User profiles for Johanna Hardin
 | Johanna HardinPomona College Verified email at pomona.edu Cited by 3626 |
Global gene expression profiling of multiple myeloma, monoclonal gammopathy of undetermined significance, and normal bone marrow plasma cells
F Zhan, J Hardin, B Kordsmeier… - Blood, The Journal …, 2002 - ashpublications.org
Bone marrow plasma cells (PCs) from 74 patients with newly diagnosed multiple myeloma (MM),
5 with monoclonal gammopathy of undetermined significance (MGUS), and 31 healthy …
5 with monoclonal gammopathy of undetermined significance (MGUS), and 31 healthy …
A variance-stabilizing transformation for gene-expression microarray data
We present a scalable volume rendering technique that exploits lossy compression and low-cost
commodity hardware to permit highly interactive exploration of time-varying scalar …
commodity hardware to permit highly interactive exploration of time-varying scalar …
Selecting between-sample RNA-Seq normalization methods from the perspective of their assumptions
C Evans, J Hardin, DM Stoebel - Briefings in bioinformatics, 2018 - academic.oup.com
RNA-Seq is a widely used method for studying the behavior of genes under different biological
conditions. An essential step in an RNA-Seq study is normalization, in which raw data are …
conditions. An essential step in an RNA-Seq study is normalization, in which raw data are …
Outlier detection in the multiple cluster setting using the minimum covariance determinant estimator
Mahalanobis-type distances in which the shape matrix is derived from a consistent high-breakdown
robust multivariate location and scale estimator can be used to find outlying points. …
robust multivariate location and scale estimator can be used to find outlying points. …
The distribution of robust distances
Mahalanobis-type distances in which the shape matrix is derived from a consistent, high-breakdown
robust multivariate location and scale estimator have an asymptotic chi-squared …
robust multivariate location and scale estimator have an asymptotic chi-squared …
Data science in statistics curricula: Preparing students to “think with data”
A growing number of students are completing undergraduate degrees in statistics and entering
the workforce as data analysts. In these positions, they are expected to understand how …
the workforce as data analysts. In these positions, they are expected to understand how …
A method for generating realistic correlation matrices
Simulating sample correlation matrices is important in many areas of statistics. Approaches
such as generating Gaussian data and finding their sample correlation matrix or generating …
such as generating Gaussian data and finding their sample correlation matrix or generating …
[HTML][HTML] Teaching the next generation of statistics students to “think with data”: Special issue on statistics and the undergraduate curriculum
The American Statistical Association endorses the value of undergraduate programs in
statistics as a reflection of the increasing importance of the discipline. We expect statistics …
statistics as a reflection of the increasing importance of the discipline. We expect statistics …
Genome-wide transcriptional response to varying RpoS levels in Escherichia coli K-12
The alternative sigma factor RpoS is a central regulator of many stress responses in Escherichia
coli . The level of functional RpoS differs depending on the stress. The effect of these …
coli . The level of functional RpoS differs depending on the stress. The effect of these …
[HTML][HTML] A robust measure of correlation between two genes on a microarray
Background The underlying goal of microarray experiments is to identify gene expression
patterns across different experimental conditions. Genes that are contained in a particular …
patterns across different experimental conditions. Genes that are contained in a particular …