Stan Pounds
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Explore the profile of Stan Pounds including associated specialties, affiliations and a list of published articles.
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20
Citations
634
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Recent Articles
1.
Cao X, Pounds S
BMC Bioinformatics
. 2021 Apr;
22(1):207.
PMID: 33882829
Background: Identifying sets of related genes (gene sets) that are empirically associated with a treatment or phenotype often yields valuable biological insights. Several methods effectively identify gene sets in which...
2.
Pajtler K, Wen J, Sill M, Lin T, Orisme W, Tang B, et al.
Acta Neuropathol
. 2018 Jun;
136(2):211-226.
PMID: 29909548
Of nine ependymoma molecular groups detected by DNA methylation profiling, the posterior fossa type A (PFA) is most prevalent. We used DNA methylation profiling to look for further molecular heterogeneity...
3.
Ramsey L, Pounds S, Cheng C, Cao X, Yang W, Smith C, et al.
Pharmacogenet Genomics
. 2017 Jun;
27(8):294-302.
PMID: 28628558
Objectives: Glucocorticoids such as dexamethasone have pleiotropic effects, including desired antileukemic, anti-inflammatory, or immunosuppressive effects, and undesired metabolic or toxic effects. The most serious adverse effects of dexamethasone among patients...
4.
Liu Z, Pounds S
BMC Bioinformatics
. 2014 Jun;
15:138.
PMID: 24886202
Background: It is scientifically and ethically imperative that the results of statistical analysis of biomedical research data be computationally reproducible in the sense that the reported results can be easily...
5.
Pawlikowska I, Wu G, Edmonson M, Liu Z, Gruber T, Zhang J, et al.
Bioinformatics
. 2014 Jan;
30(10):1400-8.
PMID: 24458951
Summary: Several outlier and subgroup identification statistics (OASIS) have been proposed to discover transcriptomic features with outliers or multiple modes in expression that are indicative of distinct biological processes or...
6.
Pounds S, Cheng C, Li S, Liu Z, Zhang J, Mullighan C
Bioinformatics
. 2013 Jul;
29(17):2088-95.
PMID: 23842812
Motivation: Tumors exhibit numerous genomic lesions such as copy number variations, structural variations and sequence variations. It is difficult to determine whether a specific constellation of lesions observed across a...
7.
Pounds S, Gao C, Johnson R, Wright K, Poppleton H, Finkelstein D, et al.
Bioinformatics
. 2011 Jun;
27(15):2098-103.
PMID: 21697127
Motivation: Animal models play a pivotal role in translation biomedical research. The scientific value of an animal model depends on how accurately it mimics the human disease. In principle, microarrays...
8.
Pounds S, Cao X, Cheng C, Yang J, Campana D, Pui C, et al.
Int J Data Min Bioinform
. 2011 Apr;
5(2):143-57.
PMID: 21516175
We recently developed the Projection Onto the Most Interesting Statistical Evidence (PROMISE) procedure that uses prior biological knowledge to guide an integrated analysis of gene expression data with multiple biological...
9.
Pounds S, Rai S
Comput Stat Data Anal
. 2010 Feb;
53(5):1604-1612.
PMID: 20161327
The concept of assumption adequacy averaging is introduced as a technique to develop more robust methods that incorporate assessments of assumption adequacy into the analysis. The concept is illustrated by...
10.
Pounds S, Cheng C, Cao X, Crews K, Plunkett W, Gandhi V, et al.
Bioinformatics
. 2009 Jun;
25(16):2013-9.
PMID: 19528086
Motivation: In some applications, prior biological knowledge can be used to define a specific pattern of association of multiple endpoint variables with a genomic variable that is biologically most interesting....