optGpSampler: an improved tool for uniformly sampling the solution-space of genome-scale metabolic networks von Megchelenbrink, Wout, Huynen, Martijn, Marchiori, Elena

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Use of artificial intelligence to shorten the behavioral diagnosis of autism von Wall, Dennis P, Dally, Rebecca, Luyster, Rhiannon, Jung, Jae-Yoon, Deluca, Todd F

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Problems with using the normal distribution--and ways to improve quality and efficiency of data analysis von Limpert, Eckhard, Stahel, Werner A

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Uniform sampling of steady states in metabolic networks: heterogeneous scales and rounding von De Martino, Daniele, Mori, Matteo, Parisi, Valerio

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A reliability-generalization study of journal peer reviews: a multilevel meta-analysis of inter-rater reliability and its determinants von Bornmann, Lutz, Mutz, Rüdiger, Daniel, Hans-Dieter

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Brain-computer interface based on generation of visual images von Bobrov, Pavel, Frolov, Alexander, Cantor, Charles, Fedulova, Irina, Bakhnyan, Mikhail, Zhavoronkov, Alexander

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Bayesian model comparison and parameter inference in systems biology using nested sampling von Pullen, Nick, Morris, Richard J

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Prediction of Associations between microRNAs and Gene Expression in Glioma Biology von Wuchty, Stefan, Arjona, Dolores, Li, Aiguo, Kotliarov, Yuri, Walling, Jennifer, Ahn, Susie, Zhang, Alice, Maric, Dragan, Anolik, Rachel, Zenklusen, Jean Claude, Fine, Howard A

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Patterns of ubiquitylation and SUMOylation associated with exposure to anoxia in embryos of the annual killifish Austrofundulus limnaeus von Meller, Camie L., Meller, Robert, Simons, Roger P., Podrabsky, Jason E.

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A network approach to predict pathogenic genes for Fusarium graminearum von Liu, Xiaoping, Tang, Wei-Hua, Zhao, Xing-Ming, Chen, Luonan

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Module network inference from a cancer gene expression data set identifies microRNA regulated modules von Bonnet, Eric, Tatari, Marianthi, Joshi, Anagha, Michoel, Tom, Marchal, Kathleen, Berx, Geert, Van de Peer, Yves

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Segmentation of multi-isotope imaging mass spectrometry data for semi-automatic detection of regions of interest von Gormanns, Philipp, Reckow, Stefan, Poczatek, J Collin, Turck, Christoph W, Lechene, Claude

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A machine learned classifier that uses gene expression data to accurately predict estrogen receptor status von Bastani, Meysam, Vos, Larissa, Asgarian, Nasimeh, Deschenes, Jean, Graham, Kathryn, Mackey, John, Greiner, Russell

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A network of cancer genes with co-occurring and anti-co-occurring mutations von Cui, Qinghua

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Bayesian hierarchical models combining different study types and adjusting for covariate imbalances: a simulation study to assess model performance von McCarron, C Elizabeth, Pullenayegum, Eleanor M, Thabane, Lehana, Goeree, Ron, Tarride, Jean-Eric

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Discovering associations in biomedical datasets by link-based associative classifier (LAC) von Yu, Pulan, Wild, David J

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An FPGA implementation to detect selective cationic antibacterial peptides von Polanco González, Carlos, Nuño Maganda, Marco Aurelio, Arias-Estrada, Miguel, del Rio, Gabriel

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Reverse engineering Boolean networks: from Bernoulli mixture models to rule based systems von Saeed, Mehreen, Ijaz, Maliha, Javed, Kashif, Babri, Haroon Atique

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Controversies in optimal anemia management: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Conference von Babitt, Jodie L., Eisenga, Michele F., Haase, Volker H., Kshirsagar, Abhijit V., Levin, Adeera, Locatelli, Francesco, Małyszko, Jolanta, Swinkels, Dorine W., Tarng, Der-Cherng, Cheung, Michael, Jadoul, Michel, Winkelmayer, Wolfgang C., Drüeke, Tilman B., Abu-Alfa, Ali K., Afsar, Baris, Pai, Amy Barton, Besarab, Anatole, Moore, Geraldine Biddle, Casadevall, Nicole, Cases, Aleix, de Francisco, Angel, Eckardt, Kai-Uwe, Fishbane, Steven, Fried, Linda F., Ganz, Tomas, Ginzburg, Yelena Z., Gómez, Rafael, Goodnough, Lawrence T., Hamano, Takayuki, Hanudel, Mark R., Hao, Chuan-Ming, Iseki, Kunitoshi, Ix, Joachim H., Johansen, Kirsten L., Ketteler, Markus, Kovesdy, Csaba P., Leaf, David E., Macdougall, Iain C., Massy, Ziad A., McMahon, Lawrence P., Minutolo, Roberto, Nakanishi, Takeshi, Nemeth, Elizabeta, Obrador, Gregorio T., Parfrey, Patrick S., Park, Hyeong-Cheon, Pecoits-Filho, Roberto, Robinson, Bruce M., Roger, Simon D., Shah, Yatrik M., Spinowitz, Bruce S., Tanaka, Tetsuhiro, Tsukamoto, Yusuke, Tungsanga, Kriang, Walther, Carl P., Yee-Moon Wang, Angela, Wolf, Myles

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Inferring a transcriptional regulatory network from gene expression data using nonlinear manifold embedding von Zare, Hossein, Kaveh, Mostafa, Khodursky, Arkady

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