Patrick D. McMullen, Ph.D.

Affiliations: 
Chemical and Biological Engineering Northwestern University, Evanston, IL 
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Richard I. Morimoto grad student 2011 Northwestern
 (Taming Biological Complexity: Using Engineering to Understand High-Throughput Data and Emergent Phenomena.)
Luís A. Nunes Amaral grad student 2011 Northwestern (Chemistry Tree)
 (Taming Biological Complexity: Using Engineering to Understand High-Throughput Data and Emergent Phenomena.)
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Publications

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McMullen PD, Pendse SN, Black MB, et al. (2019) Addressing systematic inconsistencies between in vitro and in vivo transcriptomic mode of action signatures. Toxicology in Vitro : An International Journal Published in Association With Bibra
Haider S, Black MB, Parks BB, et al. (2018) A Qualitative Modeling Approach for Whole Genome Prediction Using High-Throughput Toxicogenomics Data and Pathway-Based Validation. Frontiers in Pharmacology. 9: 1072
Pendse SN, Maertens A, Rosenberg M, et al. (2016) Information-dependent enrichment analysis reveals time-dependent transcriptional regulation of the estrogen pathway of toxicity. Archives of Toxicology
Deisenroth C, Black MB, Pendse S, et al. (2014) MYC is an early response regulator of human adipogenesis in adipose stem cells. Plos One. 9: e114133
McMullen PD, Bhattacharya S, Woods CG, et al. (2014) A map of the PPARα transcription regulatory network for primary human hepatocytes. Chemico-Biological Interactions. 209: 14-24
Guisbert E, Czyz DM, Richter K, et al. (2013) Identification of a tissue-selective heat shock response regulatory network. Plos Genetics. 9: e1003466
Andersen ME, McMullen PD, Bhattacharya S. (2013) Toxicogenomics for transcription factor-governed molecular pathways: moving on to roles beyond classification and prediction. Archives of Toxicology. 87: 7-11
Bhattacharya S, Shoda LK, Zhang Q, et al. (2012) Modeling drug- and chemical-induced hepatotoxicity with systems biology approaches. Frontiers in Physiology. 3: 462
McMullen PD, Aprison EZ, Winter PB, et al. (2012) Macro-level modeling of the response of C. elegans reproduction to chronic heat stress. Plos Computational Biology. 8: e1002338
McMullen PD, Morimoto RI, Amaral LA. (2010) Physically grounded approach for estimating gene expression from microarray data. Proceedings of the National Academy of Sciences of the United States of America. 107: 13690-5
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