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Cell Cycle

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Exposure to Aroclor-1254 impairs spindle assembly during mouse oocyte maturation.

Environmental toxicology
Polychlorinated biphenyls (PCBs), as typical environmental estrogen disruptors, are a structurally-related group of halogenated aromatic hydrocarbons that are composed of 209 isomers and present as a mixture in the environment. PCBs congener with dif...

[Enhanced radiosensitivity of H22 ascitic tumor to 12C6+ ions radiation in ultra-filtration extract mixture from Astragalus mongholicus-treated mice].

Yao xue xue bao = Acta pharmaceutica Sinica
This study was designed to investigate the impact of ultra-filtration extract mixture from Astragals mongholicus (UEMAM) o radiosensitivity of H22 ascitic tumor in mice to 12C6+ ions radiation. The H22 ascitic tumor model was established in mice by i...

Gene Ontology Consortium: going forward.

Nucleic acids research
The Gene Ontology (GO; http://www.geneontology.org) is a community-based bioinformatics resource that supplies information about gene product function using ontologies to represent biological knowledge. Here we describe improvements and expansions to...

Computational assignment of cell-cycle stage from single-cell transcriptome data.

Methods (San Diego, Calif.)
The transcriptome of single cells can reveal important information about cellular states and heterogeneity within populations of cells. Recently, single-cell RNA-sequencing has facilitated expression profiling of large numbers of single cells in para...

Identification of informative genes and pathways using an improved penalized support vector machine with a weighting scheme.

Computers in biology and medicine
Incorporation of pathway knowledge into microarray analysis has brought better biological interpretation of the analysis outcome. However, most pathway data are manually curated without specific biological context. Non-informative genes could be incl...

A system of recurrent neural networks for modularising, parameterising and dynamic analysis of cell signalling networks.

Bio Systems
In this paper, we show how to extend our previously proposed novel continuous time Recurrent Neural Networks (RNN) approach that retains the advantage of continuous dynamics offered by Ordinary Differential Equations (ODE) while enabling parameter es...