SlideShare a Scribd company logo
1 of 1
Rebecca Hiller Posey
615-948-2860
becca.posey@icloud.com
Publications acknowledging editing assistance and/or conference work (Google Scholar search
1/14/2014):
1) Zhao, M., Austin, E. D., Hemnes, A. R., & Loyd, J. E. (2014). An evidence-based knowledgebase of
pulmonary arterial hypertension to identify genes and pathways relevant to pathogenesis. Molecular
BioSystems. (Accepted)
2) Zhang, B., Huang, Y., McDermott, J. E., Posey, R. H., Xu, H., & Zhao, Z. (2013). Interdisciplinary dialogue
for education, collaboration, and innovation: Intelligent Biology and Medicine in and beyond 2013. BMC
Genomics, 14(Suppl 8), S1. (co-author)
3) Yang, J., Yu, H., Liu, B. H., Zhao, Z., Liu, L., Ma, L. X., & Li, Y. Y. (2013). DCGL v2. 0: An R Package for
Unveiling Differential Regulation from Differential Co-expression. PloS one, 8(11), e79729.
4) Yu, H., Lin, C. C., Li, Y. Y., & Zhao, Z. (2013). Dynamic protein interaction modules in human
hepatocellular carcinoma progression. BMC Systems Biology, 7(5), 1-13.
5) Luo, X., Huang, L., Jia, P., Li, M., Su, B., Zhao, Z., & Gan, L. (2013). Protein-Protein Interaction and
Pathway Analyses of Top Schizophrenia Genes Reveal Schizophrenia Susceptibility Genes Converge on
Common Molecular Networks and Enrichment of Nucleosome (Chromatin) Assembly Genes in
Schizophrenia Susceptibility Loci. Schizophrenia bulletin.
6) Jia, P., & Zhao, Z. (2013). Network-assisted analysis to prioritize GWAS results: principles, methods and
perspectives. Human genetics, 1-14.
7) Zhao, M., & Zhao, Z. (2013). CNVannotator: A Comprehensive Annotation Server for Copy Number
Variation in the Human Genome. PloS one, 8(11), e80170.
8) Zhao, M., Sun, J., & Zhao, Z. (2013). Synergetic regulatory networks mediated by oncogene-driven
microRNAs and transcription factors in serous ovarian cancer. Molecular BioSystems, 9(12), 3187-3198.
9) Zhao, M., Wang, Q., Wang, Q., Jia, P., & Zhao, Z. (2013). Computational tools for copy number variation
(CNV) detection using next-generation sequencing data: features and perspectives. BMC Bioinformatics,
14(Suppl 11), S1.
10) Zhao, M., Sun, J., & Zhao, Z. (2013). TSGene: a web resource for tumor suppressor genes. Nucleic Acids
Research, 41(D1), D970-D976.
11) Zhao, Z., Huang, Y., Zhang, B., Shyr, Y., & Xu, H. (2012). Genomics in 2012: challenges and opportunities
in the next generation sequencing era. BMC genomics, 13(Suppl 8), S1.
12) Huang, Y., Zhao, Z., Xu, H., Shyr, Y., & Zhang, B. (2012). Advances in systems biology: computational
algorithms and applications. BMC Systems Biology, 6(Suppl 3), S1.
13) Sun, J., Wu, Y., Xu, H., & Zhao, Z. (2012). DTome: a web-based tool for drug-target interactome
construction. BMC bioinformatics, 13(Suppl 9), S7.
14) Xia, J., Han, L., & Zhao, Z. (2012). Investigating the relationship of DNA methylation with mutation rate and
allele frequency in the human genome. BMC genomics, 13(Suppl 8), S7.
15) Zhao, M., Sun, J., & Zhao, Z. (2012). Distinct and Competitive Regulatory Patterns of Tumor Suppressor
Genes and Oncogenes in Ovarian Cancer. PloS one, 7(8), e44175.
16) Sun, J., Gong, X., Purow, B., & Zhao, Z. (2012). Uncovering microRNA and transcription factor mediated
regulatory networks in glioblastoma. PLoS Computational Biology, 8(7), e1002488.
17) Wang, L., Jia, P., Wolfinger, R. D., Chen, X., & Zhao, Z. (2011). Gene set analysis of genome-wide
association studies: methodological issues and perspectives. Genomics, 98(1), 1-8.
18) Zheng, S., & Zhao, Z. (2011). GenRev: Exploring functional relevance of genes in molecular networks.
Genomics.
Website listing of conference position:
Local Organization Committee Chair, ICIBM 2013: http://bioinfo.mc.vanderbilt.edu/icibm2013/organization.html
Local Organization Committee Chair, ICIBM 2012: http://bioinfo.mc.vanderbilt.edu/icibm/organization.html

More Related Content

Similar to RHP.Publications_Conferences.2014.01.14

CV.Ximiao_He
CV.Ximiao_HeCV.Ximiao_He
CV.Ximiao_HeXimiao He
 
antonioahncv2018
antonioahncv2018antonioahncv2018
antonioahncv2018Antonio Ahn
 
CV_Min_Jiang
CV_Min_JiangCV_Min_Jiang
CV_Min_JiangMIN JIANG
 
Wearable technologies should promote adaptive learners
Wearable technologies should promote adaptive learnersWearable technologies should promote adaptive learners
Wearable technologies should promote adaptive learnersDragan Gasevic
 
Prof Martin Maiden @ MRF's Meningitis and Septicaemia 2019
Prof Martin Maiden @ MRF's Meningitis and Septicaemia 2019 Prof Martin Maiden @ MRF's Meningitis and Septicaemia 2019
Prof Martin Maiden @ MRF's Meningitis and Septicaemia 2019 Meningitis Research Foundation
 
Monoclonal antibodies
Monoclonal antibodiesMonoclonal antibodies
Monoclonal antibodiesCyril Puyo
 
Data Natives Hamburg v 6.0 | "Interpersonal behavior: observing Alex to under...
Data Natives Hamburg v 6.0 | "Interpersonal behavior: observing Alex to under...Data Natives Hamburg v 6.0 | "Interpersonal behavior: observing Alex to under...
Data Natives Hamburg v 6.0 | "Interpersonal behavior: observing Alex to under...Dataconomy Media
 
PublicationsJan_2017
PublicationsJan_2017PublicationsJan_2017
PublicationsJan_2017Peter Rogan
 
ContentMine at EuropePMC AGM
ContentMine at EuropePMC AGMContentMine at EuropePMC AGM
ContentMine at EuropePMC AGMJenny Molloy
 
Cambridge seminar april 2018
Cambridge seminar april 2018Cambridge seminar april 2018
Cambridge seminar april 2018Nigel Collier
 
Chal 3 final 2.5
Chal 3 final 2.5Chal 3 final 2.5
Chal 3 final 2.5Maryxf
 
Multimodal Machine Learning for Quality of Life Assessment: Throwing Data at ...
Multimodal Machine Learning for Quality of Life Assessment: Throwing Data at ...Multimodal Machine Learning for Quality of Life Assessment: Throwing Data at ...
Multimodal Machine Learning for Quality of Life Assessment: Throwing Data at ...Katarzyna Wac & The QoL Lab
 
Referencias bibliograficas en formato apa y vancouver de elena rodado
Referencias bibliograficas en formato apa y vancouver de elena rodadoReferencias bibliograficas en formato apa y vancouver de elena rodado
Referencias bibliograficas en formato apa y vancouver de elena rodadoelenard6
 
Accessing and Sharing Electronic Personal Health Data.
Accessing and Sharing Electronic Personal Health Data.Accessing and Sharing Electronic Personal Health Data.
Accessing and Sharing Electronic Personal Health Data.Maria Karampela
 
Accessing and Sharing Electronic Personal Health Data
Accessing and Sharing Electronic Personal Health DataAccessing and Sharing Electronic Personal Health Data
Accessing and Sharing Electronic Personal Health DataSofia Ouhbi
 

Similar to RHP.Publications_Conferences.2014.01.14 (20)

CV.Ximiao_He
CV.Ximiao_HeCV.Ximiao_He
CV.Ximiao_He
 
antonioahncv2018
antonioahncv2018antonioahncv2018
antonioahncv2018
 
CV_Min_Jiang
CV_Min_JiangCV_Min_Jiang
CV_Min_Jiang
 
Role of Human Genome Project in Medical Science
Role of Human Genome Project in Medical ScienceRole of Human Genome Project in Medical Science
Role of Human Genome Project in Medical Science
 
Wearable technologies should promote adaptive learners
Wearable technologies should promote adaptive learnersWearable technologies should promote adaptive learners
Wearable technologies should promote adaptive learners
 
Prof Martin Maiden @ MRF's Meningitis and Septicaemia 2019
Prof Martin Maiden @ MRF's Meningitis and Septicaemia 2019 Prof Martin Maiden @ MRF's Meningitis and Septicaemia 2019
Prof Martin Maiden @ MRF's Meningitis and Septicaemia 2019
 
Monoclonal antibodies
Monoclonal antibodiesMonoclonal antibodies
Monoclonal antibodies
 
Quality of Life Technologies: From Cure to Care
Quality of Life Technologies: From Cure to CareQuality of Life Technologies: From Cure to Care
Quality of Life Technologies: From Cure to Care
 
ORG_CV_CWANG
ORG_CV_CWANGORG_CV_CWANG
ORG_CV_CWANG
 
Data Natives Hamburg v 6.0 | "Interpersonal behavior: observing Alex to under...
Data Natives Hamburg v 6.0 | "Interpersonal behavior: observing Alex to under...Data Natives Hamburg v 6.0 | "Interpersonal behavior: observing Alex to under...
Data Natives Hamburg v 6.0 | "Interpersonal behavior: observing Alex to under...
 
Machine learning advances in 2020
Machine learning advances in 2020Machine learning advances in 2020
Machine learning advances in 2020
 
PublicationsJan_2017
PublicationsJan_2017PublicationsJan_2017
PublicationsJan_2017
 
ContentMine at EuropePMC AGM
ContentMine at EuropePMC AGMContentMine at EuropePMC AGM
ContentMine at EuropePMC AGM
 
Cambridge seminar april 2018
Cambridge seminar april 2018Cambridge seminar april 2018
Cambridge seminar april 2018
 
Chal 3 final 2.5
Chal 3 final 2.5Chal 3 final 2.5
Chal 3 final 2.5
 
Multimodal Machine Learning for Quality of Life Assessment: Throwing Data at ...
Multimodal Machine Learning for Quality of Life Assessment: Throwing Data at ...Multimodal Machine Learning for Quality of Life Assessment: Throwing Data at ...
Multimodal Machine Learning for Quality of Life Assessment: Throwing Data at ...
 
Resume
ResumeResume
Resume
 
Referencias bibliograficas en formato apa y vancouver de elena rodado
Referencias bibliograficas en formato apa y vancouver de elena rodadoReferencias bibliograficas en formato apa y vancouver de elena rodado
Referencias bibliograficas en formato apa y vancouver de elena rodado
 
Accessing and Sharing Electronic Personal Health Data.
Accessing and Sharing Electronic Personal Health Data.Accessing and Sharing Electronic Personal Health Data.
Accessing and Sharing Electronic Personal Health Data.
 
Accessing and Sharing Electronic Personal Health Data
Accessing and Sharing Electronic Personal Health DataAccessing and Sharing Electronic Personal Health Data
Accessing and Sharing Electronic Personal Health Data
 

RHP.Publications_Conferences.2014.01.14

  • 1. Rebecca Hiller Posey 615-948-2860 becca.posey@icloud.com Publications acknowledging editing assistance and/or conference work (Google Scholar search 1/14/2014): 1) Zhao, M., Austin, E. D., Hemnes, A. R., & Loyd, J. E. (2014). An evidence-based knowledgebase of pulmonary arterial hypertension to identify genes and pathways relevant to pathogenesis. Molecular BioSystems. (Accepted) 2) Zhang, B., Huang, Y., McDermott, J. E., Posey, R. H., Xu, H., & Zhao, Z. (2013). Interdisciplinary dialogue for education, collaboration, and innovation: Intelligent Biology and Medicine in and beyond 2013. BMC Genomics, 14(Suppl 8), S1. (co-author) 3) Yang, J., Yu, H., Liu, B. H., Zhao, Z., Liu, L., Ma, L. X., & Li, Y. Y. (2013). DCGL v2. 0: An R Package for Unveiling Differential Regulation from Differential Co-expression. PloS one, 8(11), e79729. 4) Yu, H., Lin, C. C., Li, Y. Y., & Zhao, Z. (2013). Dynamic protein interaction modules in human hepatocellular carcinoma progression. BMC Systems Biology, 7(5), 1-13. 5) Luo, X., Huang, L., Jia, P., Li, M., Su, B., Zhao, Z., & Gan, L. (2013). Protein-Protein Interaction and Pathway Analyses of Top Schizophrenia Genes Reveal Schizophrenia Susceptibility Genes Converge on Common Molecular Networks and Enrichment of Nucleosome (Chromatin) Assembly Genes in Schizophrenia Susceptibility Loci. Schizophrenia bulletin. 6) Jia, P., & Zhao, Z. (2013). Network-assisted analysis to prioritize GWAS results: principles, methods and perspectives. Human genetics, 1-14. 7) Zhao, M., & Zhao, Z. (2013). CNVannotator: A Comprehensive Annotation Server for Copy Number Variation in the Human Genome. PloS one, 8(11), e80170. 8) Zhao, M., Sun, J., & Zhao, Z. (2013). Synergetic regulatory networks mediated by oncogene-driven microRNAs and transcription factors in serous ovarian cancer. Molecular BioSystems, 9(12), 3187-3198. 9) Zhao, M., Wang, Q., Wang, Q., Jia, P., & Zhao, Z. (2013). Computational tools for copy number variation (CNV) detection using next-generation sequencing data: features and perspectives. BMC Bioinformatics, 14(Suppl 11), S1. 10) Zhao, M., Sun, J., & Zhao, Z. (2013). TSGene: a web resource for tumor suppressor genes. Nucleic Acids Research, 41(D1), D970-D976. 11) Zhao, Z., Huang, Y., Zhang, B., Shyr, Y., & Xu, H. (2012). Genomics in 2012: challenges and opportunities in the next generation sequencing era. BMC genomics, 13(Suppl 8), S1. 12) Huang, Y., Zhao, Z., Xu, H., Shyr, Y., & Zhang, B. (2012). Advances in systems biology: computational algorithms and applications. BMC Systems Biology, 6(Suppl 3), S1. 13) Sun, J., Wu, Y., Xu, H., & Zhao, Z. (2012). DTome: a web-based tool for drug-target interactome construction. BMC bioinformatics, 13(Suppl 9), S7. 14) Xia, J., Han, L., & Zhao, Z. (2012). Investigating the relationship of DNA methylation with mutation rate and allele frequency in the human genome. BMC genomics, 13(Suppl 8), S7. 15) Zhao, M., Sun, J., & Zhao, Z. (2012). Distinct and Competitive Regulatory Patterns of Tumor Suppressor Genes and Oncogenes in Ovarian Cancer. PloS one, 7(8), e44175. 16) Sun, J., Gong, X., Purow, B., & Zhao, Z. (2012). Uncovering microRNA and transcription factor mediated regulatory networks in glioblastoma. PLoS Computational Biology, 8(7), e1002488. 17) Wang, L., Jia, P., Wolfinger, R. D., Chen, X., & Zhao, Z. (2011). Gene set analysis of genome-wide association studies: methodological issues and perspectives. Genomics, 98(1), 1-8. 18) Zheng, S., & Zhao, Z. (2011). GenRev: Exploring functional relevance of genes in molecular networks. Genomics. Website listing of conference position: Local Organization Committee Chair, ICIBM 2013: http://bioinfo.mc.vanderbilt.edu/icibm2013/organization.html Local Organization Committee Chair, ICIBM 2012: http://bioinfo.mc.vanderbilt.edu/icibm/organization.html