clas的用法

After combined with the algorithm for personal name recognition, authors' Chinese lexical analysis system ICTCLAS improves 1.41% in performance while the agglomerative evaluation argument F 1 value of person recognition achieve 95.40%.

文中介绍了计算所汉语词法分析系统ICTCLAS，集成人名识别算法之后，词法分析的准确率提高了1.41%，同时人名识别的综合指标F1值达到了95.40%。

A high throughput in silico data analysis system for cDNA library, CLASP, was constructed by bioinformatic approaches.

应用生物信息学方法, 构建了一套针对cDNA或 EST文库 的高通量、自动化分析体系, CLASP(cDNALibraryAnalysisSystemPrimary).

Identities of ig 1, rstR , ig 2 gene and RstR of class 、 ET and newET types were 77.0 % ～97.4 %, 10.4 % ～17.9 %, ( 9.6 % ) ～ ( 64.8 % ) , and 9.2 % ～24.1 % differentially.

class、 ET和newET类型ig1 、 rstR和ig2基因序列同源性分别为77.0%~97.4%, 10.4%~17.9%,9.6%~64.8%, RstR 同源性9.2%~24.1%.