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ORCIDBioData Mining, Volume 7
Volume 7, 2014
- Christian Darabos, Marquitta J. White, Britney E. Graham, Derek N. Leung, Scott M. Williams
, Jason H. Moore:
The multiscale backbone of the human phenotype network based on biological pathways. 1 - Abhijit Dasgupta, Silke Szymczak, Jason H. Moore, Joan E. Bailey-Wilson, James D. Malley:
Risk estimation using probability machines. 2 - William B. Langdon:
Mycoplasma contamination in the 1000 Genomes Project. 3 - Emanuel Weitschek, Giulia Fiscon, Giovanni Felici:
Supervised DNA Barcodes species classification: analysis, comparisons and results. 4 - Ting Hu, Qinxin Pan, Angeline S. Andrew, Jillian M. Langer, Michael D. Cole, Craig R. Tomlinson, Margaret R. Karagas, Jason H. Moore:
Functional genomics annotation of a statistical epistasis network associated with bladder cancer susceptibility. 5 - Sabrina L. Mitchell, Jacob B. Hall, Robert J. Goodloe, Jonathan Boston, Eric Farber-Eger, Sarah A. Pendergrass, William S. Bush, Dana C. Crawford:
Investigating the relationship between mitochondrial genetic variation and cardiovascular-related traits to develop a framework for mitochondrial phenome-wide association studies. 6 - Yunli Wang, Youlian Pan:
Semi-supervised consensus clustering for gene expression data analysis. 7 - Ryan J. Urbanowicz, Ambrose Granizo-Mackenzie, Jeff Kiralis, Jason H. Moore:
A Classification and Characterization of Two-Locus, Pure, Strict, Epistatic Models for Simulation and Detection. 8 - Ronglin Che, John R. Jack, Alison A. Motsinger-Reif, Chad C. Brown:
An adaptive permutation approach for genome-wide association study: evaluation and recommendations for use. 9 - Timothy H. Ciesielski, Sarah A. Pendergrass, Marquitta J. White, Nuri Kodaman, Rafal S. Sobota, Minjun Huang, Jacquelaine Bartlett, Jing Li, Qinxin Pan, Jiang Gui, Scott B. Selleck, Christopher I. Amos, Marylyn D. Ritchie, Jason H. Moore, Scott M. Williams:
Diverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factors. 10 - Douglas Stott Parker, Eliza Congdon, Robert M. Bilder:
Hypothesis exploration with visualization of variance. 11 - James D. Malley, Jason H. Moore:
Innovation is often unnerving: the door into summer. 12 - James D. Malley, Jason H. Moore:
First complex, then simple. 13 - Dominik Heider, Jan Dybowski, Christoph Wilms, Daniel Hoffmann:
A simple structure-based model for the prediction of HIV-1 co-receptor tropism. 14 - Yan Zhou, Nan Lin, Yang Zhang, Baoxue Zhang:
An iteration normalization and test method for differential expression analysis of RNA-seq data. 15 - Saeed Salem, Cagri Ozcaglar:
Hybrid coexpression link similarity graph clustering for mining biological modules from multiple gene expression datasets. 16 - Amanda L. Zieselman, Jonathan M. Fisher, Ting Hu, Peter C. Andrews, Casey S. Greene, Li Shen, Andrew J. Saykin, Jason H. Moore:
Computational genetics analysis of grey matter density in Alzheimer's disease. 17 - Philip Zimmermann, Stefan Bleuler, Oliver Laule, Florian Martin, Nikolai V. Ivanov, Prisca Campanoni, Karen Oishi, Nicolas Lugon-Moulin, Markus Wyss, Tomas Hruz, Wilhelm Gruissem:
ExpressionData - A public resource of high quality curated datasets representing gene expression across anatomy, development and experimental conditions. 18 - Magnus Lekman, Ola Hössjer, Peter C. Andrews, Henrik Källberg, Daniel Uvehag, Dennis S. Charney, Husseini K. Manji, John A. Rush, Francis J. McMahon, Jason H. Moore, Ingrid Kockum:
The genetic interacting landscape of 63 candidate genes in Major Depressive Disorder: an explorative study. 19 - Do Kyoon Kim, Ruowang Li, Scott M. Dudek, Alex T. Frase, Sarah A. Pendergrass, Marylyn D. Ritchie:
Knowledge-driven genomic interactions: an application in ovarian cancer. 20 - Laurence D. Parnell, Britt A. Blokker, Hassan S. Dashti, Paula-Dene Nesbeth, Brittany Cooper, Yiyi Ma, Yu-Chi Lee, Ruixue Hou, Chao-Qiang Lai, Kris Richardson, José M. Ordovás:
CardioGxE, a catalog of gene-environment interactions for cardiometabolic traits. 21 - Emad A. Mohammed, Behrouz Homayoun Far, Christopher Naugler:
Applications of the MapReduce programming framework to clinical big data analysis: current landscape and future trends. 22 - Clemente Aguilar-Bonavides, Reinaldo Sanchez-Arias, Cristina Lanzas:
Accurate prediction of major histocompatibility complex class II epitopes by sparse representation via l1-minimization. 23 - Daniel M. Rotroff, John R. Jack, Nathan Campbell, Scott Clark, Alison A. Motsinger-Reif:
PGxClean: a quality control GUI for the Affymetrix DMET chip and other candidate gene studies with non-biallelic alleles. 24 - Hongseok Tae, Enusha Karunasena, Jasmin H. Bavarva, Harold R. Garner:
Updating microbial genomic sequences: improving accuracy & innovation. 25 - James D. Malley, Karen G. Malley, Jason H. Moore:
O brave new world that has such machines in it. 26 - Nima Pouladi, Richard Cowper-Sallari, Jason H. Moore:
Combining functional genomics strategies identifies modular heterogeneity of breast cancer intrinsic subtypes. 27 - Hemant Ishwaran, James D. Malley:
Synthetic learning machines. 28 - Yan Zhou, Nan Lin, Baoxue Zhang:
Erratum: An iteration normalization and test method for differential expression analysis of RNA-seq data. 30 - Kirsti Laurila, Reija Autio, Lingjia Kong, Elisa Närvä, Samer Hussein, Timo Otonkoski, Riitta Lahesmaa, Harri Lähdesmäki:
Integrative genomics and transcriptomics analysis of human embryonic and induced pluripotent stem cells. 32 - Charalampos S. Floudas, Nara Um, M. Kamboh, M. Michael Barmada, Shyam Visweswaran:
Identifying genetic interactions associated with late-onset Alzheimer's disease. 35 - Cui Tao, Puqiang Wu, Yi Luo, Yuji Zhang:
Linked vaccine adverse event data from VAERS for biomedical data analysis and longitudinal studies. 36
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