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The lentivirus vectors expressing WT-Runx2, pLVTHM (RNAi-control) and Runx2-shRNA (Runx2-RNAi) were described and generated previously [ 5].
Based on the above biological studies, in this paper we thus postulate that the incidence data of human colon cancer are described and generated by a multi-stage model involving 2 pathways as defined above.
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We wish to thank Xiaofan Liang for her help with the simulation software and for running all the experiments described and generating the results charts.
In digital communications error pattern modelling based on hidden Markov models is widely used to describe and generate error sequences.
SCAN is a special purpose context-free language which describes and generates a wide range of array accessing algorithms from a short set of simple ones.
Because the field of CPTH treatments is so understudied the present study has also aimed to describe and generate hypotheses for the future research.
We obtained essentially identical results using a recently described and independently generated antibody [ 21] (data not shown).
We analyzed prognostic factors, described survival and generated a prognostic model in patients with metastatic renal cell carcinoma in whom immunotherapy failed and who were potentially eligible for novel agents.
A hidden Markov model (HMM) has been used to describe, predict, identify, and generate secretory signal peptide sequences.
A range of applications is described and the results generated by the finite strip procedure are compared with the results of previous studies.
Other expression plasmids were subcloned into pCMX plasmid as previously described and mutants were generated by site-specific PCR mutagenesis and verified by sequencing.
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