Application Images
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References
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产品名称
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描述
小鼠单克隆抗体[PAb 240] to p53
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宿主
Mouse
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特异性
Anti-p53抗体[PAb 240]
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常规说明
小鼠单克隆抗体[PAb 240] to p53
Customer reviews and Q&As
- Xiang, F., Neal, P.: Efficient MCMC for temporal epidemics via parameter reduction. Comput. Stat. Data Anal.
- Xiang, F., Neal, P.: Efficient MCMC for temporal epidemics via parameter reduction. Comput. Stat. Data Anal.
- Xiang, F., Neal, P.: Efficient MCMC for temporal epidemics via parameter reduction. Comput. Stat. Data Anal.
- Xiang, F., Neal, P.: Efficient MCMC for temporal epidemics via parameter reduction. Comput. Stat. Data Anal.
- Xiang, F., Neal, P.: Efficient MCMC for temporal epidemics via parameter reduction. Comput. Stat. Data Anal.
For the process of attaching edges to nodes, it is straightforward to compute
the likelihood using (2). However, because of the nature of weighted sampling
without replacement, we have to, for each i, calculate the probability conditi
onal on each of the Xi!Xi! permutations of the selected nodes and then aver
age over all Xi!Xi! probabilities to arrive at the likelihood. As calculating
the exact likelihood in this way is not computationally feasible because the
factorial grows faster than the exponential function, we approximate the
likelihood based on one permutation of weighted sampling without replacement
instead. The contribution by the new edges brought by node i is
