Search results for 'GENE-EXPRESSION' (try it on Scholar)

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  1. Jean‐Pascal Capp (2012). Stochastic Gene Expression Stabilization as a New Therapeutic Strategy for Cancer. Bioessays 34 (3):170-173.score: 75.0
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  2. Angelika Merkel & Roderic Guigó (2011). Review of 'Cap‐Analysis Gene Expression'. [REVIEW] Bioessays 33 (3):233-234.score: 75.0
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  3. Hunter B. Fraser (2011). Genome‐Wide Approaches to the Study of Adaptive Gene Expression Evolution. Bioessays 33 (6):469-477.score: 75.0
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  4. Philippe Collas, Eivind G. Lund & Anja R. Oldenburg (2014). Closing the (Nuclear) Envelope on the Genome: How Nuclear Lamins Interact with Promoters and Modulate Gene Expression. Bioessays 36 (1):75-83.score: 75.0
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  5. Rolf Ohlsson, Victor Lobanenkov & Elena Klenova (2010). Does CTCF Mediate Between Nuclear Organization and Gene Expression? Bioessays 32 (1):37-50.score: 75.0
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  6. Francesco Catania & Michael Lynch (2013). A Simple Model to Explain Evolutionary Trends of Eukaryotic Gene Architecture and Expression. Bioessays 35 (6):561-570.score: 66.0
  7. Joel D. Velasco (2012). Objective and Subjective Probability in Gene Expression. Progress in Biophysics and Molecular Biology 110:5-10.score: 60.0
    In this paper I address the question of whether the probabilities that appear in models of stochastic gene expression are objective or subjective. I argue that while our best models of the phenomena in question are stochastic models, this fact should not lead us to automatically assume that the processes are inherently stochastic. After distinguishing between models and reality, I give a brief introduction to the philosophical problem of the interpretation of probability statements. I argue that the objective vs. subjective (...)
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  8. Clark Glymour, Two Statistical Problems for Inference to Regulatory Structure From Associations of Gene Expression Measurements with Microarrays.score: 60.0
    Of the many proposals for inferring genetic regulatory structure from microarray measurements of mRNA transcript hybridization, several aim to estimate regulatory structure from the associations of gene expression levels measured in repeated samples. The repeated samples may be from a single experimental condition, or from several distinct experimental conditions; they may be “equilibrium” measurements or time series; the associations may be estimated by correlation coefficients or by conditional frequencies (for discretized measurements) or by some other statistic. This paper describes two (...)
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  9. Hans V. Westerhoff & Daniel Kahn (1993). Control Involving Metabolism and Gene Expression. Acta Biotheoretica 41 (1-2).score: 60.0
    Control of DNA supercoiling by the free-energy of hydrolysis of ATP that involves gene expression is analyzed in terms of three levels of unconnected metabolic pathways. These are synthesis and breakdown of topoisomerase mRNAs, synthesis and breakdown of topoisomerase proteins and supercoiling and relaxation of DNA. The so-called square-matrix method previously developed for the control of metabolic pathways, is extended to deal with this hierarchical control system. It turns out that also in this case, the matrix of control coefficients is (...)
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  10. Pater Spirtes, Clark Glymour, Richard Scheines, Stuart Kauffman, Valerio Aimale & Frank Wimberly, Constructing Bayesian Network Models of Gene Expression Networks From Microarray Data.score: 60.0
    Through their transcript products genes regulate the rates at which an immense variety of transcripts and subsequent proteins occur. Understanding the mechanisms that determine which genes are expressed, and when they are expressed, is one of the keys to genetic manipulation for many purposes, including the development of new treatments for disease. Viewing each gene in a genome as a distinct variable that is either on (expresses) or off (does not express), or more realistically as a continuous variable (the rate (...)
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  11. Tianjaio Chu, Two Statistical Problems for Inference to Regulatory Structure From Associations of Gene Expression Measurements with Microarrays.score: 60.0
    Of the many proposals for inferring genetic regulatory structure from microarray measurements of mRNA transcript hybridization, several aim to estimate regulatory structure from the associations of gene expression levels measured in repeated samples. The repeated samples may be from a single experimental condition, or from several distinct experimental conditions; they may be “equilibrium” measurements or time series; the associations may be estimated by correlation coefficients or by conditional frequencies (for discretized measurements) or by some other statistic. This paper describes two (...)
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  12. Ying Ge & Bo T. Porse (2014). The Functional Consequences of Intron Retention: Alternative Splicing Coupled to NMD as a Regulator of Gene Expression. Bioessays 36 (3):236-243.score: 51.0
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  13. Ohad Nachtomy, Ayelet Shavit & Zohar Yakhini (2007). Gene Expression and the Concept of the Phenotype. Studies in History and Philosophy of Science Part C 38 (1):238-254.score: 45.0
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  14. Mark D. Adams (1996). Serial Analysis of Gene Expression: ESTs Get Smaller. Bioessays 18 (4):261-262.score: 45.0
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  15. Salome Gluecksohn-Waelsch & Donald Defranco (1991). Lethal Chromosomal Deletions in the Mouse, a Model System for the Study of Development and Regulation of Postnatal Gene Expression. Bioessays 13 (11):557-561.score: 45.0
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  16. Jane Silverthorne & Elaine M. Tobin (1987). Phytochrome Regulation of Nuclear Gene Expression. Bioessays 7 (1):18-23.score: 45.0
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  17. Carol R. Andersson & Steve A. Kay (1998). COP1 and HY5 Interact to Mediate Light‐Induced Gene Expression. Bioessays 20 (6):445-448.score: 45.0
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  18. Jean‐Pascal Capp (2011). Stochastic Gene Expression is the Driving Force of Cancer. Bioessays 33 (10):781-782.score: 45.0
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  19. Jean‐Pascal Capp (2005). Stochastic Gene Expression, Disruption of Tissue Averaging Effects and Cancer as a Disease of Development. Bioessays 27 (12):1277-1285.score: 45.0
  20. Z. Jeffrey Chen & Zhongfu Ni (2006). Mechanisms of Genomic Rearrangements and Gene Expression Changes in Plant Polyploids. Bioessays 28 (3):240-252.score: 45.0
  21. Aleš Cvekl & Joram Piatigorsky (1996). Lens Development and Crystallin Gene Expression: Many Roles for Pax‐6. Bioessays 18 (8):621-630.score: 45.0
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  22. Sébastien Desfarges & Angela Ciuffi (2012). Viral Integration and Consequences on Host Gene Expression. In Witzany (ed.), Viruses: Essential Agents of Life. Springer. 147--175.score: 45.0
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  23. Paul D. Etter & Mani Ramaswami (2002). The Ups and Downs of Daily Life: Profiling Circadian Gene Expression inDrosophila. Bioessays 24 (6):494-498.score: 45.0
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  24. Jay D. Evans & Diana E. Wheeler (2001). Gene Expression and the Evolution of Insect Polyphenisms. Bioessays 23 (1):62-68.score: 45.0
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  25. Steven Finkbeiner & Michael E. Greenberg (1997). Spatial Features of Calcium-Regulated Gene Expression. Bioessays 19 (8):657-660.score: 45.0
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  26. Vernon French & Antonia Monteiro (1994). Butterfly Wings: Colour Patterns and Now Gene Expression Patterns. Bioessays 16 (11):789-791.score: 45.0
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  27. Jeffrey S. Han & Jef D. Boeke (2005). LINE‐1 Retrotransposons: Modulators of Quantity and Quality of Mammalian Gene Expression? Bioessays 27 (8):775-784.score: 45.0
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  28. Korenberg J. (2009). Genome-Wide Analyses of Gene Expression in Williams Syndrome. Frontiers in Human Neuroscience 3.score: 45.0
  29. Iain J. McEwan, Anthony P. H. Wright & Jan‐Åke Gustafsson (1997). Mechanism of Gene Expression by the Glucocorticoid Receptor: Role of Protein‐Protein Interactions. Bioessays 19 (2):153-160.score: 45.0
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  30. Philip M. Meneely (1990). X-Linked Gene Expression and Sex Determination inCaenorhabditis Elegans. Bioessays 12 (11):513-518.score: 45.0
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  31. Lois K. Miller (1989). Insect Baculoviruses: Powerful Gene Expression Vectors. Bioessays 11 (4):91-95.score: 45.0
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  32. Garth L. Nicolson (1991). Gene Expression, Cellular Diversification and Tumor Progression to the Metastatic Phenotype. Bioessays 13 (7):337-342.score: 45.0
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  33. Jamshed R. Tata (1993). Gene Expression During Metamorphosis: An Ideal Model for Post‐Embryonic Development. Bioessays 15 (4):239-248.score: 45.0
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  34. Shoko Ueki & Vitaly Citovsky (2001). RNA Commutes to Work: Regulation of Plant Gene Expression by Systemically Transported RNA Molecules. Bioessays 23 (12):1087-1090.score: 45.0
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  35. Sarah E. Webb, Marc Moreau, Catherine Leclerc & Andrew L. Miller (2001). Calcium in Development: From Ion Transients to Gene Expression. Bioessays 23 (4):372-374.score: 45.0
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  36. Diya Banerjee & Frank Slack (2002). Control of Developmental Timing by Small Temporal RNAs: A Paradigm for RNA‐Mediated Regulation of Gene Expression. Bioessays 24 (2):119-129.score: 45.0
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  37. Peter E. Barker (1987). Stress Changes in Eukaryotic Gene Expression in Response to Environmental Stress B. G. Atkinson D. B. Walden. Bioscience 37 (1):75-75.score: 45.0
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  38. Avri Ben-Ze've (1991). Animal Cell Shape Changes and Gene Expression. Bioessays 13 (5):207-212.score: 45.0
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  39. Francine M. Benes (2006). Strategies for Improving Sensitivity of Gene Expression Profiling: Regulation of Apoptosis in the Limbic Lobe of Schizophrenics and Bipolars. In Susana Martinez-Conde, S. L. Macknik, L. M. Martinez, J.-M. Alonso & P. U. Tse (eds.), Progress in Brain Research. Elsevier Science. 158--153.score: 45.0
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  40. F. M. Benes (2006). Section II-Applications of Genomics and Proteomic Technologies to Clinical Neuroscience-8 Strategies for Improving Sensitivity of Gene Expression Profiling: Regulation of Apoptosis in the Limbic. In Susana Martinez-Conde, S. L. Macknik, L. M. Martinez, J.-M. Alonso & P. U. Tse (eds.), Progress in Brain Research. Elsevier Science. 158--153.score: 45.0
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  41. Katharine M. Brauch (2008). On Gene Expression Patterns in Mammalian Hibernation. Bioessays 30 (9):920-920.score: 45.0
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  42. Carolyn Byrne (1997). Regulation of Gene Expression in Developing Epidermal Epithelia. Bioessays 19 (8):691-698.score: 45.0
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  43. Allan Campbell (1977). Third Volume of Gene Expression Gene Expression. Vol. 3: Plasmids and Phages Benjamin Lewin. Bioscience 27 (12):819-819.score: 45.0
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  44. Colyn Crane‐Robinson (1999). How Do Linker Histones Mediate Differential Gene Expression? Bioessays 21 (5):367-371.score: 45.0
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  45. Peter J. A. Davies, William T. Moore & Michael P. Murtaugh (1984). Retinoid-Regulated Gene Expression in Normal and Leukemic Myeloid Cells. Bioessays 1 (4):160-165.score: 45.0
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  46. Niall Dillon & Pierangela Sabbattini (2000). Functional Gene Expression Domains: Defining the Functional Unit of Eukaryotic Gene Regulation. Bioessays 22 (7):657-665.score: 45.0
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  47. Ann Ehrenhofer‐Murray, Hemmo Meyer & Wolfgang Nellen (2013). Coal Mining Meets Chromatin Research: Digging for Mechanisms in Epigenetic Control of Gene Expression. Bioessays 35 (2):141-144.score: 45.0
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  48. David E. Featherstone & Kendal Broadie (2002). Wrestling with Pleiotropy: Genomic and Topological Analysis of the Yeast Gene Expression Network. Bioessays 24 (3):267-274.score: 45.0
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  49. E. Feather & K. Broadie (2004). Wrestling with Pleiotropy: Genomic and Topological Analysis of the Yeast Gene Expression Network. Bioessays 24:267-272.score: 45.0
     
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  50. Charles Ffrench‐Constant (1990). Eukaryotic Transcriptional Systems. Tissue Specific Gene Expression (1989). Edited by R. Renkawitz. VCH Verlagsgesellschaft, Weinheim. Pp. 221. DM 198, £71. [REVIEW] Bioessays 12 (5):250-251.score: 45.0
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