Now showing items 1-20 of 93

    • Robust forecast aggregation: FourierᅠL2Eᅠregression 

      Cross, Daniel; Ramos, Jaime; Mellers, Barbara; Tetlock, Philip E.; Scott, David W. (2018)
      The Good Judgment Team led by psychologists P. Tetlock and B. Mellers of the University of Pennsylvania was the most successful of five research projects sponsored through 2015 by the Intelligence Advanced Research Projects ...
    • Temporal and spectral characteristics of dynamic functional connectivity between resting-state networks reveal information beyond static connectivity 

      Chiang, Sharon; Vankov, Emilian R.; Yeh, Hsiang J.; Guindani, Michele; Vannucci, Marina; Haneef, Zulfi; Stern, John M. (2018)
      Estimation of functional connectivity (FC) has become an increasingly powerful tool for investigating healthy and abnormal brain function. Static connectivity, in particular, has played a large part in guiding conclusions ...
    • Cell fate in antiviral response arises in the crosstalk of IRF, NF-κB and JAK/STAT pathways 

      Czerkies, Maciej; Korwek, Zbigniew; Prus, Wiktor; Kochańczyk, Marek; Jaruszewicz-Błońska, Joanna; Tudelska, Karolina; Błoński, Sławomir; Kimmel, Marek; Brasier, Allan R.; Lipniacki, Tomasz (2018)
      The innate immune system processes pathogen-induced signals into cell fate decisions. How information is turned to decision remains unknown. By combining stochastic mathematical modelling and experimentation, we demonstrate ...
    • Impact of hypothermia on implementation of CPAP for neonatal respiratory distress syndrome in a low-resource setting 

      Carns, Jennifer; Kawaza, Kondwani; Quinn, M.K.; Miao, Yinsen; Guerra, Rudy; Molyneux, Elizabeth; Oden, Maria; Richards-Kortum, Rebecca (2018)
      Background: Neonatal hypothermia is widely associated with increased risks of morbidity and mortality, but remains a pervasive global problem. No studies have examined the impact of hypothermia on outcomes for preterm ...
    • The International Conference on Intelligent Biology and Medicine (ICIBM) 2016: from big data to big analytical tools 

      Liu, Zhandong; Zheng, W. Jim; Allen, Genevera I; Liu, Yin; Ruan, Jianhua; Zhao, Zhongming (2017-10-03)
      Abstract The 2016 International Conference on Intelligent Biology and Medicine (ICIBM 2016) was held on December 8–10, 2016 in Houston, Texas, USA. ICIBM included eight scientific sessions, four tutorials, ...
    • The International Conference on Intelligent Biology and Medicine (ICIBM) 2016: summary and innovation in genomics 

      Zhao, Zhongming; Liu, Zhandong; Chen, Ken; Guo, Yan; Allen, Genevera I; Zhang, Jiajie; Jim Zheng, W.; Ruan, Jianhua (2017-10-03)
      Abstract In this editorial, we first summarize the 2016 International Conference on Intelligent Biology and Medicine (ICIBM 2016) that was held on December 8–10, 2016 in Houston, Texas, USA, and then briefly ...
    • A longitudinal cohort study of malaria exposure and changing serostatus in a malaria endemic area of rural Tanzania 

      Simmons, Ryan A; Mboera, Leonard; Miranda, Marie L; Morris, Alison; Stresman, Gillian; Turner, Elizabeth L; Kramer, Randall; Drakeley, Chris; O’Meara, Wendy P (2017-08-02)
      Abstract Background Measurements of anti-malarial antibodies are increasingly used as a proxy of transmission intensity. Most serological surveys are based on the use of ...
    • A genome-wide trans-ethnic interaction study links theᅠPIGR-FCAMRᅠlocus to coronary atherosclerosis via interactions between genetic variants and residential exposure to traffic 

      Ward-Caviness, Cavin K.; Neas, Lucas M.; Blach, Colette; Haynes, Carol S.; LaRocque-Abramson, Karen; Grass, Elizabeth; Dowdy, Z. Elaine; Devlin, Robert B.; Diaz-Sanchez, David; Cascio, Wayne E.; Miranda, Marie Lynn; Gregory, Simon G.; Shah, Svati H.; Kraus, William E.; Hauser, Elizabeth R. (2017)
      Air pollution is a worldwide contributor to cardiovascular disease mortality and morbidity. Traffic-related air pollution is a widespread environmental exposure and is associated with multiple cardiovascular outcomes such ...
    • Coalescence computations for large samples drawn from populations of time-varying sizes 

      Polanski, Andrzej; Szczesna, Agnieszka; Garbulowski, Mateusz; Kimmel, Marek (2017)
      We present new results concerning probability distributions of times in the coalescence tree and expected allele frequencies for coalescent with large sample size. The obtained results are based on computational methodologies, ...
    • The value of foresight 

      Ernst, Philip A.; Rogers, L.C.G.; Zhou, Quan (2017)
      Suppose you have one unit of stock, currently worth 1, which you must sell before time . The Optional Sampling Theorem tells us that whatever stopping time we choose to sell, the expected discounted value we get when we ...
    • BayesBD: An R Package for Bayesian Inference on Image Boundaries 

      Syring, Nicholas; Li, Meng (2017)
      We present the BayesBD package providing Bayesian inference for boundaries of noisy images. The BayesBD package implements flexible Gaussian process priors indexed by the circle to recover the boundary in a binary or ...
    • Evolutionary action and structural basis of the allosteric switch controlling β2AR functional selectivity 

      Schönegge, Anne-Marie; Gallion, Jonathan; Picard, Louis-Philippe; Wilkins, Angela D.; Le Gouill, Christian; Audet, Martin; Stallaert, Wayne; Lohse, Martin J.; Kimmel, Marek; Lichtarge, Olivier; Bouvier, Michel (2017)
      Functional selectivity of G-protein-coupled receptors is believed to originate from ligand-specific conformations that activate only subsets of signaling effectors. In this study, to identify molecular motifs playing ...
    • A Hierarchical Bayesian Model for the Identification of PET Markers Associated to the Prediction of Surgical Outcome after Anterior Temporal Lobe Resection 

      Chiang, Sharon; Guindani, Michele; Yeh, Hsiang J.; Dewar, Sandra; Haneef, Zulfi; Stern, John M.; Vannucci, Marina (2017)
      We develop an integrative Bayesian predictive modeling framework that identifies individual pathological brain states based on the selection of fluoro-deoxyglucose positron emission tomography (PET) imaging biomarkers and ...
    • Multitype Bellman-Harris branching model provides biological predictors of early stages of adult hippocampal neurogenesis 

      Li, Biao; Sierra, Amanda; Deudero, Juan J; Semerci, Fatih; Laitman, Andrew; Kimmel, Marek; Maletic-Savatic, Mirjana (2017)
      Abstract Background Adult hippocampal neurogenesis, the process of formation of new neurons, occurs throughout life in the hippocampus. New neurons have been associated ...
    • An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data 

      Wadsworth, W. Duncan; Argiento, Raffaele; Guindani, Michele; Galloway-Pena, Jessica; Shelbourne, Samuel A.; Vannucci, Marina (2017)
      Abstract Background The Human Microbiome has been variously associated with the immune-regulatory mechanisms involved in the prevention or development of many non-infectious ...
    • Joint Bayesian variable and graph selection for regression models with network-structured predictors 

      Peterson, C.B.; Stingo, F.C.; Vannucci, M. (2016)
      In this work, we develop a Bayesian approach to perform selection of predictors that are linked within a network. We achieve this by combining a sparse regression model relating the predictors to a response variable with ...
    • Exercising control when confronted by a (Brownian) spider 

      Ernst, Philip (2016)
      We consider the Brownian “spider,” a construct introduced in Dubins and Schwarz (1988) and in Barlow and Pitman (1989). In this note, the author proves the “spider” bounds by using the dynamic programming strategy of ...
    • Chronic Infection Depletes Hematopoietic Stem Cells through Stress-Induced Terminal Differentiation 

      Matatall, Katie A.; Jeong, Mira; Chen, Siyi; Sun, Deqiang; Chen, Fengju; Mo, Qianxing; Kimmel, Marek; King, Katherine Y. (2016)
      Chronic infections affect a third of the world’s population and can cause bone marrow suppression, a severe condition that increases mortality from infection. To uncover the basis for infection-associated bone marrow ...
    • A spatiotemporal nonparametric Bayesian model of multi-subject fMRI data 

      Zhang, Linlin; Guindani, Michele; Versace, Francesco; Engelmann, Jeffrey M.; Vannucci, Marina (2016)
      In this paper we propose a unified, probabilistically coherent framework for the analysis of task-related brain activity in multi-subject fMRI experiments. This is distinct from two-stage “group analysis” approaches ...
    • Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease 

      Allen, Genevera I.; Amoroso, Nicola; Anghel, Catalina; Balagurusamy, Venkat; Bare, Christopher J.; Beaton, Derek; Bellotti, Roberto; Bennett, David A.; Boehme, Kevin L.; Boutros, Paul C.; Caberlotto, Laura; Caloian, Cristian; Campbell, Frederick; Neto, Elias Chaibub; Chang, Yu-Chuan; Chen, Beibei; Chen, Chien-Yu; Chien, Ting-Ying; Clark, Tim; Das, Sudeshna; Davatzikos, Christos; Deng, Jieyao; Dillenberger, Donna; Dobson, Richard J.B.; Dong, Qilin; Doshi, Jimit; Duma, Denise; Errico, Rosangela; Erus, Guray; Everett, Evan; Fardo, David W.; Friend, Stephen H.; Frӧhlich, Holger; Gan, Jessica; St George-Hyslop, Peter; Ghosh, Satrajit S.; Glaab, Enrico; Green, Robert C.; Guan, Yuanfang; Hong, Ming-Yi; Huang, Chao; Hwang, Jinseub; Ibrahim, Joseph; Inglese, Paolo; Iyappan, Anandhi; Jiang, Qijia; Katsumata, Yuriko; Kauwe, John S.K.; Klein, Arno; Kong, Dehan; Krause, Roland; Lalonde, Emilie; Lauria, Mario; Lee, Eunjee; Lin, Xihui; Liu, Zhandong; Livingstone, Julie; Logsdon, Benjamin A.; Lovestone, Simon; Ma, Tsung-wei; Malhotra, Ashutosh; Mangravite, Lara M.; Maxwell, Taylor J.; Merrill, Emily; Nagorski, John; Namasivayam, Aishwarya; Narayan, Manjari; Naz, Mufassra; Newhouse, Stephen J.; Norman, Thea C.; Nurtdinov, Ramil N.; Oyang, Yen-Jen; Pawitan, Yudi; Peng, Shengwen; Peters, Mette A.; Piccolo, Stephen R.; Praveen, Paurush; Priami, Corrado; Sabelnykova, Veronica Y.; Senger, Philipp; Shen, Xia; Simmons, Andrew; Sotiras, Aristeidis; Stolovitzky, Gustavo; Tangaro, Sabina; Tateo, Andrea; Tung, Yi-An; Tustison, Nicholas J.; Varol, Erdem; Vradenburg, George; Weiner, Michael W.; Xiao, Guanghua; Xie, Lei; Xie, Yang; Xu, Jia; Yang, Hojin; Zhan, Xiaowei; Zhou, Yunyun; Zhu, Fan; Zhu, Hongtu; Zhu, Shanfeng; Alzheimer’s Disease Neuroimaging Initiative (2016)
      Identifying accurate biomarkers of cognitive decline is essential for advancing early diagnosis and prevention therapies in Alzheimer's disease. The Alzheimer's disease DREAM Challenge was designed as a computational ...