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ORCIDJournal of Clinical Bioinformatics, Volume 2
Volume 2, 2012
- Shih-Heng Yeh, Hsiang-Yuan Yeh, Von-Wun Soo:
A network flow approach to predict drug targets from microarray data, disease genes and interactome network - case study on prostate cancer. 1 - Raffaele Fronza, Michele Tramonti, William R. Atchley, Christine Nardini
:
Brain cancer prognosis: independent validation of a clinical bioinformatics approach. 2 - Manuela Hische, Abdelhalim Larhlimi, Franziska Schwarz, Antje Fischer-Rosinský, Thomas Bobbert, Anke Assmann, Gareth Catchpole, Andreas F. H. Pfeiffer, Lothar Willmitzer, Joachim Selbig, Joachim Spranger:
A distinct metabolic signature predicts development of fasting plasma glucose. 3 - Vladimir Lazarevic, Katrine Whiteson, Nadia Gaïa, Yann Gizard, David Hernández, Laurent Farinelli, Magne Østerås, Patrice François, Jacques Schrenzel:
Analysis of the salivary microbiome using culture-independent techniques. 4 - Niels H. Wulff, Maria Tzatzaris, Philip J. Young:
Monte Carlo simulation of the Spearman-Kaerber TCID50. 5 - Rizwan Masud, Khader Shameer, Aparna Dhar, Keyue Ding, Iftikhar J. Kullo:
Gene expression profiling of peripheral blood mononuclear cells in the setting of peripheral arterial disease. 6 - Francisco Azuaje, Michaël Heymann, Anne-Marie Ternes, Anke Wienecke-Baldacchino, Daniel Struck, Danièle Moes, Reinhard Schneider:
Bioinformatics as a driver, not a passenger, of translational biomedical research: Perspectives from the 6th Benelux bioinformatics conference. 7 - Khader Shameer, Ramanathan Sowdhamini:
Functional repertoire, molecular pathways and diseases associated with 3D domain swapping in the human proteome. 8 - Prakash M. Nadkarni, Chirag Parikh:
An eUtils toolset and its use for creating a pipeline to link genomics and proteomics analyses to domain-specific biomedical literature. 9 - Yuqi Zhao, Jingwen Wang, Yanjie Wang, Jingfei Huang:
A comparative analysis of protein targets of withdrawn cardiovascular drugs in human and mouse. 10 - Volker Haustein, Udo Schumacher:
A dynamic model for tumour growth and metastasis formation. 11 - Elena López, Carmen Cuadrado, Carmen Burbano, Maria Jiménez, Julia Rodríguez, Jesús Crespo:
Effects of autoclaving and high pressure on allergenicity of hazelnut proteins. 12 - Xiaowei Guan, Mark R. Chance, Jill S. Barnholtz-Sloan:
Splitting random forest (SRF) for determining compact sets of genes that distinguish between cancer subtypes. 13 - Philippe Broët, Thierry Moreau:
A model-based statistic for detecting molecular markers associated with complex survival patterns in early-stage cancer. 14 - Arash Rafii, Najeeb M. Halabi, Joel A. Malek:
High-prevalence and broad spectrum of Cell Adhesion and Extracellular Matrix gene pathway mutations in epithelial ovarian cancer. 15 - Wen-Chin Hsu, Chan-Cheng Liu, Fu Chang, Su-Shing Chen:
Cancer classification: Mutual information, target network and strategies of therapy. 16 - Mary M. Randolph-Gips, Pramila Srinivasan:
Modeling autism: a systems biology approach. 17 - Eric di Luccio, Patrice Koehl:
The H-factor as a novel quality metric for homology modeling. 18 - Andrew Stubbs, Elizabeth A. McClellan, Sebastiaan Horsman, Saskia D. Hiltemann, Ivo Palli, Stephan Nouwens, Anton H. J. Koning, Frits Hoogland, Joke Reumers, Daphne Heijsman, Sigrid Swagemakers, Andreas Kremer, Jules Meijerink, Diether Lambrechts, Peter J. van der Spek:
Huvariome: a web server resource of whole genome next-generation sequencing allelic frequencies to aid in pathological candidate gene selection. 19 - Philip Crooke, John T. Tossberg, Sara N. Horst, John L. Tauscher, Melodie A. Henderson, Dawn B. Beaulieu, David A. Schwartz, Nancy Olsen, Thomas M. Aune:
Using gene expression data to identify certain gastro-intestinal diseases. 20 - Subhashini Srinivasan, Arun H. Patil, Mohit Verma, Jonathan Bingham, Raghunathan Srivatsan:
Genome-wide Profiling of RNA splicing in prostate tumor from RNA-seq data using virtual microarrays. 21 - Chenwei Wang, Alperen Taciroglu, Stefan Maetschke, Colleen C. Nelson, Mark A. Ragan, Melissa J. Davis:
mCOPA: analysis of heterogeneous features in cancer expression data. 22 - Chirayu Pankaj Goswami, Harikrishna Nakshatri:
PROGmiR: a tool for identifying prognostic miRNA biomarkers in multiple cancers using publicly available data. 23
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