Tag Archives: DREAM challenge

Predicting cell locations is important since with the understanding of cell locations, we may estimate the function of cells and their integration with the spatial environment. Thus, the DREAM challenge on single-cell transcriptomics required participants to predict the locations of ...

Discovering meaningful gene interactions is crucial for the identification of novel regulatory processes in cells. Building accurately the related graphs remains challenging due to the large number of possible solutions from available data. Nonetheless, enforcing a priori on the graph ...

Seven Bridges, the biomedical data analysis company, today announced that its Cancer Genomics Cloud (CGC) platform is powering the latest DREAM Challenge, focused on accurately identifying cancer-associated rearrangements with RNA sequencing data. Launched by The University of California, Santa Cruz ...

An open challenge that merges the efforts of the International Cancer Genome Consortium, The Cancer Genome Atlas, and the NCI Cloud Pilots with Sage Bionetworks and the open science DREAM Challenge community Scientists from around the world have announced a ...

Inferring gene networks from high-throughput data constitutes an important step in the discovery of relevant regulatory relationships in organism cells. Despite the large number of available Gene Regulatory Network inference methods, the problem remains challenging: the underdetermination in the space ...