UNLABELLED: A challenge in biodata analysis is to understand the underlying phenomena among many interactions in signaling pathways. Such study is formulated as the pathway enrichment analysis, which identifies relevant pathways functional enriched in high-throughput data. The question faced here is how to analyze different data types in a unified and integrative way by characterizing pathways that these data simultaneously reveal. To this end, we developed integrative Pathway Enrichment Analysis Platform, iPEAP, which handles transcriptomics, proteomics, metabolomics and GWAS data under a unified aggregation schema. iPEAP emphasizes on the ability to aggregate various pathway enrichment results generated in different high-throughput experiments, as well as the quantitative measurements of different ranking results, thus providing the first benchmark platform for integration, comparison and evaluation of multiple types of data and enrichment methods. AVAILABILITY AND IMPLEMENTATION: iPEAP is freely available at http://www.tongji.edu.cn/∼qiliu/ipeap.html.

The delay beamforming method, one of the most effective microphone array techniques, requires minimal computational complexity and enjoys wide usage in narrowband signal applications. However, the method suffers from high losses of low-frequency sound and is generally not suitable for broadband signals. In this paper, a novel normalized beamforming algorithm is introduced for broadband speech applications in multichannel cochlear implant (CI), which can be adjusted based on application conditions. The proposed algorithm can, with minimal computational complexity, accurately and effectively compensate for changes in signal beam pattern, in accordance with a preselected benchmark. In addition, this method can be combined with the widely used continuous interleaved sampling (CIS) strategy, adding to its practical value.