Results 11 to 20 of about 5,153,058 (200)
Gene expression tomography [PDF]
Physiological Genomics, 2002 Gene expression tomography, or GET, is a new method to increase the speed of three-dimensional (3-D) gene expression analysis in the brain. The name is evocative of the method’s dual foundations in high-throughput gene expression analysis and computerized tomographic image reconstruction, familiar from techniques such as positron emission tomography ...
BROWN, VANESSA M +6 more
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Generalized gene co-expression analysis via subspace clustering using low-rank representation [PDF]
, 2019 BACKGROUND: Gene Co-expression Network Analysis (GCNA) helps identify gene modules with potential biological functions and has become a popular method in bioinformatics and biomedical research.
Huang, Kun, Wang, Tongxin, Zhang, Jie
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GC content of vertebrate exome landscapes reveal areas of accelerated protein evolution
BMC Evolutionary Biology, 2019 Background Rapid accumulation of vertebrate genome sequences render comparative genomics a powerful approach to study macro-evolutionary events. The assessment of phylogenic relationships between species routinely depends on the analysis of sequence ...
R. Huttener +6 more
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Disruption of ATRX-RNA interactions uncovers roles in ATRX localization and PRC2 function
Nature Communications, 2020 ATRX is an RNA binding protein that mediates targeting of polycomb repressive complex 2 (PRC2) to genomic sites. Here the authors identify the RNA binding region and show that the RNA binding is required for ATRX localization and for its recruitment of ...
Wenqing Ren +11 more
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Scientific Reports, 2021 A promising therapy for patients with B-cell lymphoma is based on vaccination with idiotype monoclonal antibodies (mAbs). Since idiotypes are different in each tumor, a personalized vaccine has to be produced for each patient.
Erkuden Casales +11 more
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Stochastic neural network models for gene regulatory networks [PDF]
, 2003 Recent advances in gene-expression profiling technologies provide large amounts of gene expression data. This raises the possibility for a functional understanding of genome dynamics by means of mathematical modelling.
Burrage, K., Tian, T.
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Nature, 2019 This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature's AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections.
Rajewsky, Nikolaus +3 more
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Wellcome Open Research, 2018 Background: Viral oncogenes and mutated proto-oncogenes are potent drivers of cancer malignancy. Downstream of the oncogenic trigger are alterations in protein properties that give rise to cellular transformation and the acquisition of malignant cellular
Tony Ly +6 more
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Engineering stochasticity in gene expression [PDF]
, 2008 Stochastic fluctuations (noise) in gene expression can cause members of otherwise genetically identical populations to display drastically different phenotypes. An understanding of the sources of noise and the strategies cells employ to function reliably
Bayer, Travis S. +4 more
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Establishment of human iPSC-based models for the study and targeting of glioma initiating cells
Nature Communications, 2016 Glioma can originate from the transformation of neural progenitor cells into glioma initiating cells. Here, the authors demonstrate the use of induced pluripotent stem cells as a suitable model for generating neural progenitor cells, which can be ...
Ignacio Sancho-Martinez +22 more
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