2 research outputs found
Identification of Co-Deregulated Genes in Urinary Bladder Cancer Using High-Throughput Methodologies
Urinary bladder cancer (UBC) is the second most common urogenital solid tumor and the eleventh in the rank among all types of solid tumors. Although several oncogenes and tumor suppressors are known to be implicated in the disease, the list of candidate prognostic markers has recently expanded, as a result of the power of new high-throughput methodologies. The prognosis and therapy of UBC have progressed greatly during the last years. However, a majority of the different tumor subtypes still relapses, manifesting poor prognosis. Here, we identified gene expression patterns being common across different histological phenotypes of UBC. Such an approach could be useful in the discovery of prognostic and therapeutic targets able to be applied in the majority of the tumor’s subtypes
Piloting topic-aware research impact assessment features in BIP! Services
Various research activities rely on citation-based impact indicators. However
these indicators are usually globally computed, hindering their proper
interpretation in applications like research assessment and knowledge
discovery. In this work, we advocate for the use of topic-aware categorical
impact indicators, to alleviate the aforementioned problem. In addition, we
extend BIP! Services to support those indicators and showcase their benefits in
real-world research activities.Comment: 5 pages, 2 figure