Abstract: The present application provides methods for the identification of somatic genome alterations with functional impact in the genome of a tumor. In several embodiments, the methods comprise generating a bipartite causal Bayesian network with maximal posterior probability including causal edges pointing from genes including somatic mutations and somatic copy number alterations in the genome of the tumor to genes having differential expression in the tumor. The methods can be used, for example, to identify driver somatic genome alterations in the genome of a tumor.

Abstract: The present application relates to the technical field of computers. Provided are a method and apparatus for live migration of a virtual machine. The method comprises: when executing, in a virtual machine module on a destination host, an instruction of an instruction set that the destination host does not have but a source host has, trapping an exception; a system virtualization module intercepting the exception, and parsing an interrupt context of the exception; according to instruction address information of the interrupt context, acquiring data of the instruction, and decoding the same; and emulating an execution process of the instruction on the basis of the instruction set of the destination host. By means of the present application, the live migration of a virtual machine of cross-generation processors can be realized, while a higher instruction set capability is maintained.

Abstract: The present application provides methods for the identification of somatic genome alterations with functional impact in the genome of a tumor. In several embodiments, the methods comprise generating a bipartite causal Bayesian network with maximal posterior probability including causal edges pointing from genes including somatic mutations and somatic copy number alterations in the genome of the tumor to genes having differential expression in the tumor. The methods can be used, for example, to identify driver somatic genome alterations in the genome of a tumor.