Now showing items 13092-13111 of 17918

    • Predicting ADHD by Assessment of Rutter’s Indicators of Adversity in Infancy 

      Østergaard, Søren D.; Larsen, Janne T.; Dalsgaard, Søren; Wilens, Timothy E.; Mortensen, Preben B.; Agerbo, Esben; Mors, Ole; Petersen, Liselotte (Public Library of Science, 2016)
      Background: Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder with early onset. ADHD is associated with significant morbidity and mortality, partly due to delayed diagnosis. ...
    • Predicting clinical response to anticancer drugs using an ex vivo platform that captures tumour heterogeneity 

      Majumder, Biswanath; Baraneedharan, Ulaganathan; Thiyagarajan, Saravanan; Radhakrishnan, Padhma; Narasimhan, Harikrishna; Dhandapani, Muthu; Brijwani, Nilesh; Pinto, Dency D.; Prasath, Arun; Shanthappa, Basavaraja U.; Thayakumar, Allen; Surendran, Rajagopalan; Babu, Govind K.; Shenoy, Ashok M.; Kuriakose, Moni A.; Bergthold, Guillaume; Horowitz, Peleg; Loda, Massimo; Beroukhim, Rameen; Agarwal, Shivani; Sengupta, Shiladitya; Sundaram, Mallikarjun; Majumder, Pradip K. (Nature Pub. Group, 2015)
      Predicting clinical response to anticancer drugs remains a major challenge in cancer treatment. Emerging reports indicate that the tumour microenvironment and heterogeneity can limit the predictive power of current ...
    • Predicting DNA methylation level across human tissues 

      Ma, Baoshan; Wilker, Elissa H.; Willis-Owen, Saffron A. G.; Byun, Hyang-Min; Wong, Kenny C. C.; Motta, Valeria; Baccarelli, Andrea A.; Schwartz, Joel; Cookson, William O. C. M.; Khabbaz, Kamal; Mittleman, Murray A.; Moffatt, Miriam F.; Liang, Liming (Oxford University Press, 2014)
      Differences in methylation across tissues are critical to cell differentiation and are key to understanding the role of epigenetics in complex diseases. In this investigation, we found that locus-specific methylation ...
    • Predicting episodic memory formation for movie events 

      Tang, Hanlin; Singer, Jed; Ison, Matias J.; Pivazyan, Gnel; Romaine, Melissa; Frias, Rosa; Meller, Elizabeth; Boulin, Adrianna; Carroll, James; Perron, Victoria; Dowcett, Sarah; Arellano, Marlise; Kreiman, Gabriel (Nature Publishing Group, 2016)
      Episodic memories are long lasting and full of detail, yet imperfect and malleable. We quantitatively evaluated recollection of short audiovisual segments from movies as a proxy to real-life memory formation in 161 subjects ...
    • Predicting inter-hemispheric transfer time from the diffusion properties of the corpus callosum in healthy individuals and schizophrenia patients: A combined ERP and DTI study 

      Whitford, Thomas; Kubicki, Marek R.; Ghorashi, Shahab; Schneiderman, Jason S.; Hawley, Kathryn J.; McCarley, Robert William; Shenton, Martha Elizabeth; Spencer, Kevin M. (Elsevier BV, 2011)
      Background—Several theories of schizophrenia have emphasized the role of aberrant neural timing in the etiology of the disease, possibly as a consequence of conduction delays caused by structural damage to the white-matter ...
    • Predicting Ligand-Binding Function in Families of Bacterial Receptors 

      Johnson, JM; Church, George McDonald (Proceedings of the National Academy of Sciences, 2000)
      The three-dimensional fold of a new protein sequence can often be inferred directly from sequence homology to a protein of known structure. The function of a new protein sequence is more difficult to predict, however, since ...
    • Predicting Mortality in Low-Income Country ICUs: The Rwanda Mortality Probability Model (R-MPM) 

      Riviello, Elisabeth D.; Kiviri, Willy; Fowler, Robert A.; Mueller, Ariel; Novack, Victor; Banner-Goodspeed, Valerie M.; Weinkauf, Julia L.; Talmor, Daniel S.; Twagirumugabe, Theogene (Public Library of Science, 2016)
      Introduction: Intensive Care Unit (ICU) risk prediction models are used to compare outcomes for quality improvement initiatives, benchmarking, and research. While such models provide robust tools in high-income countries, ...
    • Predicting Outcomes Over Time in Patients With Heart Failure, Left Ventricular Systolic Dysfunction, or Both Following Acute Myocardial Infarction 

      Lopes, Renato D.; Pieper, Karen S.; Stevens, Susanna R.; Solomon, Scott D.; McMurray, John J.V.; Pfeffer, Marc A.; Leimberger, Jeffrey D.; Velazquez, Eric J. (John Wiley and Sons Inc., 2016)
      Background: Most studies of risk assessment or stratification in patients with myocardial infarction (MI) have been static and fail to account for the evolving nature of clinical events and care processes. We sought to ...
    • Predicting Peptides Binding to MHC Class II Molecules Using Multi-objective Evolutionary Algorithms 

      Rajapakse, Menaka; Schmidt, Bertil; Feng, Lin; Brusic, Vladimir (BioMed Central, 2007)
      Background: Peptides binding to Major Histocompatibility Complex (MHC) class II molecules are crucial for initiation and regulation of immune responses. Predicting peptides that bind to a specific MHC molecule plays an ...
    • Predicting post-trauma stress symptoms from pre-trauma psychophysiologic reactivity, personality traits and measures of psychopathology 

      Orr, Scott P.; Lasko, Natasha B.; Macklin, Michael L; Pineles, Suzanne L; Chang, Yuchiao; Pitman, roger k (BioMed Central, 2012)
      Background: Most individuals exposed to a traumatic event do not develop post-traumatic stress disorder (PTSD), although many individuals may experience sub-clinical levels of post-traumatic stress symptoms (PTSS). There ...
    • Predicting Protein Post-translational Modifications Using Meta-analysis of Proteome Scale Data Sets 

      Schwartz, Daniel; Chou, Michael; Church, George (Elsevier BV, 2009-02)
      Protein post-translational modifications are an important biological regulatory mechanism, and the rate of their discovery using high throughput techniques is rapidly increasingly. To make use of this wealth of sequence ...
    • Predicting Regulons and Their Cis-Regulatory Motifs by Comparative Genomics 

      Manson, Abigail; Manson Mcguire, Abigail; Church, George
      We have combined and compared three techniques for predicting functional interactions based on comparative genomics (methods based on conserved operons, protein fusions and correlated evolution) and optimized these methods ...
    • Predicting Sample Size Required for Classification Performance 

      Figueroa, Rosa L; Zeng-Treitler, Qing; Kandula, Sasikiran; Ngo, Long H. (BioMed Central, 2012)
      Background: Supervised learning methods need annotated data in order to generate efficient models. Annotated data, however, is a relatively scarce resource and can be expensive to obtain. For both passive and active learning ...
    • Predicting speech fluency and naming abilities in aphasic patients 

      Wang, Jasmine; Marchina, Sarah; Norton, Andrea C.; Wan, Catherine Y.; Schlaug, Gottfried (Frontiers Media S.A., 2013)
      There is a need to identify biomarkers that predict degree of chronic speech fluency/language impairment and potential for improvement after stroke. We previously showed that the Arcuate Fasciculus lesion load (AF-LL), a ...
    • Predicting Survival Within the Lung Cancer Histopathological Hierarchy Using a Multi-Scale Genomic Model of Development 

      Liu, Hongye; Kho, Alvin Thong-Juak; Kohane, Isaac Samuel; Sun, Yao (Public Library of Science, 2006)
      Background: The histopathologic heterogeneity of lung cancer remains a significant confounding factor in its diagnosis and prognosis—spurring numerous recent efforts to find a molecular classification of the disease that ...
    • Predicting the Binding Preference of Transcription Factors to Individual DNA \(\kappa\)-mers 

      Alleyne, Trevis M.; Peña-Castillo, Lourdes; Badis, Gwenael; Talukder, Shaheynoor; Berger, Michael F.; Gehrke, Andrew R.; Philippakis, Anthony Andrew; Bulyk, Martha Leonia; Morris, Quaid D.; Hughes, Timothy R. (Oxford University Press, 2008)
      Motivation: Recognition of specific DNA sequences is a central mechanism by which transcription factors (TFs) control gene expression. Many TF-binding preferences, however, are unknown or poorly characterized, in part due ...
    • Predicting the Next Eye Pathogen: Analysis of a Novel Adenovirus 

      Robinson, Christopher; Zhou, Xiaohong; Rajaiya, Jayabarathy; Yousuf, Mohammad Abu; Singh, Gurdeep; DeSerres, Joshua J.; Walsh, Michael P.; Wong, Sallene; Seto, Donald; Dyer, David W.; Chodosh, James; Jones, Morris S. (American Society of Microbiology, 2013)
      For DNA viruses, genetic recombination, addition, and deletion represent important evolutionary mechanisms. Since these genetic alterations can lead to new, possibly severe pathogens, we applied a systems biology approach ...
    • Predicting the Response to Sorafenib in Hepatocellular Carcinoma: Where is the Evidence for Phosphorylated Extracellular Signaling-Regulated Kinase (pERK)? 

      Zhu, Andrew Xiuxuan (BioMed Central, 2009)
      The approval of sorafenib and active development of many other molecularly targeted agents in hepatocellular carcinoma (HCC) have presented a challenge to understand the mechanism of action of sorafenib and identify ...
    • Predicting the Severity and Prognosis of Trismus after Intensity-Modulated Radiation Therapy for Oral Cancer Patients by Magnetic Resonance Imaging 

      Hsieh, Li-Chun; Chen, John W.; Wang, Li-Ying; Tsang, Yuk-Ming; Shueng, Pei-Wei; Liao, Li-Jen; Lo, Wu-Chia; Lin, Yu-Chin; Tseng, Chien-Fu; Kuo, Ying-Shiung; Jhuang, Jie-Yang; Tien, Hui-Ju; Juan, Hsueh-Fen; Hsieh, Chen-Hsi (Public Library of Science, 2014)
      To develop magnetic resonance imaging (MRI) indicators to predict trismus outcome for post-operative oral cavity cancer patients who received adjuvant intensity-modulated radiation therapy (IMRT), 22 patients with oral ...
    • Predicting Transcription Factor Specificity with All-atom Models 

      Jamal Rahi, Sahand; Virnau, Peter; Mirny, Leonid Alex; Kardar, Mehran (Oxford University Press, 2008)
      The binding of a transcription factor (TF) to a DNA operator site can initiate or repress the expression of a gene. Computational prediction of sites recognized by a TF has traditionally relied upon knowledge of several ...