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10.1098/rsif.2014.0245 http://scihub22266oqcxt.onion/10.1098/rsif.2014.0245 C4233684!4233684!24966232     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+R+Soc+Interface 2014 ; 11 (98): ä Nephropedia Template TP {{tp|p=24966232|t=2014. Logic programming to predict cell fate patterns and retrodict genotypes in organogenesis |pdf=|usr=}}{{24966232}} gab.com Text Logic programming to predict cell fate patterns and retrodict genotypes in organogenesis JO: J R Soc Interface http://www.kidney.de/pget.php?&tw=1&pmid=24966232 #FOAvip Caenorhabditis elegans vulval development is a paradigm system for understanding cell differentiation in the process of organogenesis. Through temporal and spatial controls, the fate pattern of six cells is determined by the competition of the LET-23 and the Notch signalling pathways. Modelling cell fate determination in vulval development using state-based models, coupled with formal analysis techniques, has been established as a powerful approach in predicting the outcome of combinations of mutations. However, computing the outcomes of complex and highly concurrent models can become prohibitive. Here, we show how logic programs derived from state machines describing the differentiation of C. elegans vulval precursor cells can increase the speed of prediction by four orders of magnitude relative to previous approaches. Moreover, this increase in speed allows us to infer, or ?retrodict?, compatible genomes from cell fate patterns. We exploit this technique to predict highly variable cell fate patterns resulting from dig-1 reduced-function mutations and let-23 mosaics. In addition to the new insights offered, we propose our technique as a platform for aiding the design and analysis of experimental data. Twit Text FOAVip Logic programming to predict cell fate patterns and retrodict genotypes in organogenesis ????J R Soc Interface http://www.kidney.de/pget.php?&tw=1&pmid=24966232 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24966232 #FOAvip English Wikipedia <ref>{{Cite pmid|24966232}}</ref> Logic programming to predict cell fate patterns and retrodict genotypes in organogenesis #MMPMID24966232 Hall BA; Jackson E; Hajnal A; Fisher J J R Soc Interface 2014[Sep]; 11 (98): ä PMID24966232show ga Caenorhabditis elegans vulval development is a paradigm system for understanding cell differentiation in the process of organogenesis. Through temporal and spatial controls, the fate pattern of six cells is determined by the competition of the LET-23 and the Notch signalling pathways. Modelling cell fate determination in vulval development using state-based models, coupled with formal analysis techniques, has been established as a powerful approach in predicting the outcome of combinations of mutations. However, computing the outcomes of complex and highly concurrent models can become prohibitive. Here, we show how logic programs derived from state machines describing the differentiation of C. elegans vulval precursor cells can increase the speed of prediction by four orders of magnitude relative to previous approaches. Moreover, this increase in speed allows us to infer, or ?retrodict?, compatible genomes from cell fate patterns. We exploit this technique to predict highly variable cell fate patterns resulting from dig-1 reduced-function mutations and let-23 mosaics. In addition to the new insights offered, we propose our technique as a platform for aiding the design and analysis of experimental data. äLogic programming to predict cell fate patterns and retrodict genotype(epmc).pdf DeepDyve Pubget Overpricing