Kenneth Lui

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Simultaneous interrogation of tumor genomes and transcriptomes is underway in unprecedented global efforts. Yet, despite the essential need to separate driver mutations modulating gene expression networks from transcriptionally inert passenger mutations, robust computational methods to ascertain the impact of individual mutations on transcriptional networks(More)
This paper gives a short overview of the Opencast Matterhorn system. Built by an open community of individuals and institutions, Matterhorn provides a lecture capture platform for both research and production environments. Matterhorn is comprehensive and scalable, and includes components for the acquisition, processing, and playback of content. Matterhorn(More)
1 Data Analysis Workflow The driverNet algorithm needs a binary patient-mutation matrix, a binary patient-outlier matrix, and a binary matrix representing the influence graph. In this section, we describe how different matrices are prepared. Additional File 2 shows the data processing pipeline. To obtain the patient-mutation matrix, firstly, both the tumour(More)
In this paper, a new topological approach for studying a sufficiently long random number sequence is proposed. By segmenting the sequence into groups of digits which represent the node identities while the undirected edges symbolize the adjacency between them, a network is constructed for analysis. In particular, the network constructed from a π sequence is(More)
π Degree distribution a b s t r a c t In this paper, a new topological approach for studying a sufficiently long random number sequence is proposed. By segmenting the sequence into groups of digits which represent the node identities while the undirected edges symbolize the adjacency between them, a network is constructed for analysis. In particular, the(More)
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