„Topic-Model“

Suchergebnisse

3.462 Treffer

• Model-based virtual patient analysis of human liver regeneration predicts critical perioperative factors controlling the dynamic mode of response to resection
  Verma, Babita K. ; Subramaniam, Pushpavanam ; Vadigepalli, Rajanikanth
• Modelling overflow metabolism in Escherichia coli with flux balance analysis incorporating differential proteomic efficiencies of energy pathways
  Zeng, Hong ; Yang, Aidong
• Constructing network topologies for multiple signal-encoding functions
  Wu, Lili ; Wang, Hongli ; Ouyang, Qi
• Plasmodium vivax readiness to transmit: implication for malaria eradication
  Adapa, Swamy Rakesh ; Taylor, Rachel A. ; Wang, Chengqi ; Thomson-Luque, Richard ; Johnson, Leah R. ; Jiang, Rays H. Y.
• Mechanistic insight into activation of MAPK signaling by pro-angiogenic factors
  Song, Min ; Finley, Stacey D.
• Module-detection approaches for the integration of multilevel omics data highlight the comprehensive response of Aspergillus fumigatus to caspofungin
  Conrad, T. ; Kniemeyer, O. ; Henkel, S. G. ; Krüger, T. ; Mattern, D. J. ; Valiante, V. ; Guthke, R. ; Jacobsen, I. D. ; Brakhage, A. A. ; Vlaic, S. ; Linde, J.
• Cellular network modeling and single cell gene expression analysis reveals novel hepatic stellate cell phenotypes controlling liver regeneration dynamics
  Cook, Daniel ; Achanta, Sirisha ; Hoek, Jan B. ; Ogunnaike, Babatunde A. ; Vadigepalli, Rajanikanth
• Multi-component gene network design as a survival strategy in diverse environments
  Luo, Xinyue ; Song, Ruijie ; Acar, Murat
• The synthetic histone-binding regulator protein PcTF activates interferon genes in breast cancer cells
  Olney, Kimberly C. ; Nyer, David B. ; Vargas, Daniel A. ; Wilson Sayres, Melissa A. ; Haynes, Karmella A.
• Statistical relationship between metabolic decomposition and chemical uptake predicts bioconcentration factor data for diverse chemical exposures
  Rowland, Michael A. ; Wear, Hannah ; Watanabe, Karen H. ; Gust, Kurt A. ; Mayo, Michael L.
• A systematic survey of centrality measures for protein-protein interaction networks
  Ashtiani, Minoo ; Salehzadeh-Yazdi, Ali ; Razaghi-Moghadam, Zahra ; Hennig, Holger ; Wolkenhauer, Olaf ; Mirzaie, Mehdi ; Jafari, Mohieddin
• Extracting proteins involved in disease progression using temporally connected networks
  Anand, Rajat ; Sarmah, Dipanka Tanu ; Chatterjee, Samrat
• A quantitative systems pharmacology (QSP) model for Pneumocystis treatment in mice
  Liu, Guan-Sheng ; Ballweg, Richard ; Ashbaugh, Alan ; Zhang, Yin ; Facciolo, Joseph ; Cushion, Melanie T. ; Zhang, Tongli
• Short linear motifs in intrinsically disordered regions modulate HOG signaling capacity
  Strome, Bob ; Hsu, Ian Shenyen ; Li Cheong Man, Mitchell ; Zarin, Taraneh ; Nguyen Ba, Alex ; Moses, Alan M.
• Comparison of topical tofacitinib and 0.1% hypochlorous acid in a murine atopic dermatitis model
  Fukuyama, Tomoki ; Ehling, Sarah ; Wilzopolski, Jenny ; Bäumer, Wolfgang
• Single molecules can operate as primitive biological sensors, switches and oscillators
  Hernansaiz-Ballesteros, Rosa D. ; Cardelli, Luca ; Csikász-Nagy, Attila
• Metabolic model-based analysis of the emergence of bacterial cross-feeding via extensive gene loss
  McNally, Colin P. ; Borenstein, Elhanan
• Reconstruction of a genome-scale metabolic model for Actinobacillus succinogenes 130Z
  Pereira, Bruno ; Miguel, Joana ; Vilaça, Paulo ; Soares, Simão ; Rocha, Isabel ; Carneiro, Sónia
• A computational framework for complex disease stratification from multiple large-scale datasets
  De Meulder, Bertrand ; Lefaudeux, Diane ; Bansal, Aruna T. ; Mazein, Alexander ; Chaiboonchoe, Amphun ; Ahmed, Hassan ; Balaur, Irina ; Saqi, Mansoor ; Pellet, Johann ; Ballereau, Stéphane ; Lemonnier, Nathanaël ; Sun, Kai ; Pandis, Ioannis ; Yang, Xian ; Batuwitage, Manohara ; Kretsos, Kosmas ; van Eyll, Jonathan ; Bedding, Alun ; Davison, Timothy ; Dodson, Paul ; Larminie, Christopher ; Postle, Anthony ; Corfield, Julie ; Djukanovic, Ratko ; Chung, Kian Fan ; Adcock, Ian M. ; Guo, Yi-Ke ; Sterk, Peter J
• In silico identification of essential proteins in Corynebacterium pseudotuberculosis based on protein-protein interaction networks
  Folador, Edson Luiz ; de Carvalho, Paulo Vinícius Sanches Daltro ; Silva, Wanderson Marques ; Ferreira, Rafaela Salgado ; Silva, Artur ; Gromiha, Michael ; Ghosh, Preetam ; Barh, Debmalya ; Azevedo, Vasco ; Röttger, Richard