A General Framework for Estimating Statistical Significance of Correlation and Its Application to Gene Co-expression Analysis.

2013年10月23日 · CorSig is based on a biology-informed null hypothesis, i.e., testing whether the true PCC (ρ) between two variables is statistically larger than a user-specified PCC cutoff (τ), as opposed to the simple null hypothesis of ρ = 0 in existing methods, i.e., testing whether an association can be declared without a threshold.

2022年2月8日 · 我查阅了不少文档，配置的方法都是有错误的，甚至官方文档都是错的，年久失修的状态。 cors: { enable: true, package: 'egg-cors', }, 此处官方文档中写的是：（是错的或者已过时无效的，反正我试了无效，况且现在都用 ES6 里哪还有 exports.cors 这种写法，具体区别可参考此文档： www.cnblogs.com/fayin/p/683…） enable: true, package: 'egg-cors', // 放开所有域名 domainWhiteList: ['*'], domainWhiteList: [ 'http://localhost:4200' ], origin: '*',

2021年11月23日 · 在开发中，有时会遇到这种问题：通过浏览器去访问一个接口可以正常获取到信息，但是通过点击事件去请求这个接口却无法正常获取到想要的信息。此时，你可能就是遇到跨域问题了， 在Egg中的解决方案如下：

2013年10月23日 · CorSig is based on a biology-informed null hypothesis, i.e., testing whether the true PCC (ρ) between two variables is statistically larger than a user-specified PCC cutoff (τ), as opposed to the simple null hypothesis of ρ = 0 in existing methods, i.e., testing whether an association can be declared without a threshold.

CorSig is based on a biology-informed null hypothesis, i.e., testing whether the true PCC (r) between two variables is statistically larger than a user-specified PCC cutoff (t), as opposed to the simple null hypothesis of r=0 in existing methods, i.e., testing whether an association can be declared without a threshold.

2022年8月4日 · CORS配置 egg框架提供了 egg-cors 插件来实现CORS跨域请求，先配置插件，配置完毕后就可以使用了。 前端使用的axios框架会将请求的数据处理这样请求的字符串数据会处理为对象，后端的eg

2013年10月23日 · CorSig is a new method based on a biology-informed null hypothesis for statistical inference of correlation significance that effectively identified co-expressed genes in the flavonoid pathway, and discriminated between closely related gene family members for their differential association with flavonoids and lignin pathways.

We present here a new method, CorSig, for statistical inference of correlation significance. CorSig is based on a biology-informed null hypothesis, i.e., testing whether the true PCC (rho) between two variables is statistically larger than a user-specified PCC cutoff (t), as opposed to the simple null hypothesis of rho = 0 in existing methods ...

We present here a new method, CorSig, for statistical inference of correlation significance. CorSig is based on a biology-informed null hypothesis, i.e., testing whether the true PCC (ρ) between two variables is statistically larger than a user-specified PCC cutoff (τ), as opposed to the simple null hypothesis of ρ = 0 in existing methods, i ...