Nicholas E. Hardison
North Carolina State University
17 Papers
81 Citations
Nicholas E. Hardison is an academic researcher from North Carolina State University. The author has contributed to research in topics: Biology & Grammatical evolution. The author has an hindex of 9, co-authored 17 publications.
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Papers
Characterization of Conserved and Nonconserved Imprinted Genes in Swine
Steve Bischoff,Shengdar Tsai,Nicholas E. Hardison,Alison A. Motsinger-Reif,Brad A. Freking,Dan J. Nonneman,Gary A. Rohrer,Jorge A. Piedrahita +7 more
TL;DR: To increase the understanding of imprinted genes in swine, a comprehensive analysis of this gene family was carried out using two complementary approaches: expression and phenotypic profiling of parthenogenetic fetuses, and analysis of imprinting by pyrosequencing.
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Differentially expressed microRNAs and affected biological pathways revealed by modulated modularity clustering (MMC) analysis of human preeclamptic and IUGR placentas
L. Guo,Shengdar Q. Tsai,Nicholas E. Hardison,Andra H. James,Alison A. Motsinger-Reif,Betty Thames,Eric A. Stone,C. Deng,Jorge A. Piedrahita +8 more
TL;DR: Modulated modularity clustering (MMC) allowed the elucidation of a molecular signature associated with preeclampsia and a subset of IUGR samples, which allowed the identification of genes, pathways, and microRNAs affected in these diseases.
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Pharmacogenomic characterization of US FDA-approved cytotoxic drugs
Eric Peters,Alison A. Motsinger-Reif,Alison A. Motsinger-Reif,Tammy M. Havener,Lorraine Everitt,Nicholas E. Hardison,Venita Gresham Watson,Michael J. Wagner,Kristy L. Richards,M. A. Province,Howard L. McLeod +10 more
TL;DR: The results of this systematic study highlight the variable role that genetics plays in response to cytotoxic drugs, and inform the prioritization of chemotherapeutic drugs with a sizable genetic response component for future investigation.
Grammatical evolution decision trees for detecting gene-gene interactions
TL;DR: The Grammatical Evolution Decision Tree (GEDT) as discussed by the authors is a decision tree-based approach for detecting gene-gene interactions in genetic association studies, which has high power to detect interactions with and without main effects.
24
Differences in X-Chromosome Transcriptional Activity and Cholesterol Metabolism between Placentae from Swine Breeds from Asian and Western Origins
Steve Bischoff,Steve Bischoff,Shengdar Tsai,Nicholas E. Hardison,Alison A. Motsinger-Reif,B. A. Freking,Dan J. Nonneman,Gary A. Rohrer,Jorge A. Piedrahita +8 more
TL;DR: This work identifies key metabolic pathways that differ in the placentae of two swine breeds noted for differences in reproductive prolificacy.