Results 21 to 30 of about 809,277 (348)
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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Partition Decoupling for Multi-gene Analysis of Gene Expression Profiling Data [PDF]
, 2011 We present the extention and application of a new unsupervised statistical learning technique--the Partition Decoupling Method--to gene expression data.
Braun, Rosemary +3 more
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Bacterial riboproteogenomics : the era of N-terminal proteoform existence revealed [PDF]
, 2020 With the rapid increase in the number of sequenced prokaryotic genomes, relying on automated gene annotation became a necessity. Multiple lines of evidence, however, suggest that current bacterial genome annotations may contain inconsistencies and are ...
Fijalkowska, Daria +3 more
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Profiling Gene Expression Using Onto-Express
Genomics, 2002 Gene expression profiles obtained through microarray or data mining analyses often exist as vast data strings. To interpret the biology of these genetic profiles, investigators must analyze this data in the context of other information such as the biological, biochemical, or molecular function of the translated proteins.
Purvesh, Khatri +3 more
openaire +2 more sources
Gene expression profiling of skeletal muscles [PDF]
Genes, 2021 AbstractSoleus and tibialis anterior are two well-characterized skeletal muscles commonly utilized in skeletal muscle-related studies. Next-generation sequencing provides an opportunity for an in-depth biocomputational analysis to identify the gene expression patterns between soleus and tibialis anterior and analyze those genes’ functions based on past
Sarah I. Alto +4 more
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Biomolecules, 2021 Selection of optimal control samples is crucial in expression profiling tumor samples. To address this issue, we performed microarray expression profiling of control samples routinely used in head and neck squamous cell carcinoma studies: human bronchial
Adam Ustaszewski +7 more
doaj +1 more source
Digital gene expression analysis of the zebra finch genome [PDF]
, 2010 Background: In order to understand patterns of adaptation and molecular evolution it is important to quantify both variation in gene expression and nucleotide sequence divergence.
Balakrishnan, C.N. +3 more
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A microfluidic processor for gene expression profiling of single human embryonic stem cells [PDF]
, 2008 The gene expression of human embryonic stem cells (hESC) is a critical aspect for understanding the normal and pathological development of human cells and tissues.
Chen, Yan +6 more
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Gene Expression Profiling via Multigene Concatemers.
PLoS ONE, 2011 We established a novel method, Gene Expression Profiling via Multigene Concatemers (MgC-GEP), to study multigene expression patterns simultaneously.
Kai Jin, Xiaoli Zheng, Yuxian Xia
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Imaging cell lineage with a synthetic digital recording system [PDF]
, 2020 Cell lineage plays a pivotal role in cell fate determination. Chow et al. demonstrate the use of an integrase-based synthetic barcode system called intMEMOIR, which uses the serine integrase Bxb1 to perform irreversible nucleotide edits.
Budde, Mark W. +11 more
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