Our matrix/tensor joint decomposition model is published in JBI

We published the JDHMT model in JBI. https://www.sciencedirect.com/science/article/pii/S1532046421003026 Highlights(论文亮点) We propose a typical knowledge form in multi-relational heterogeneous graph, i.e., (gene/disease, uni-relation, other heterogeneous entity), (gene, multi-relation, disease), where a relatively sparse multi-relation knowledge between gene and disease is preserved. (我们在多关系异构图中提出了一种典型的知识形式,即(基因/疾病,单关系,其他异构实体),(基因,多关系,疾病),其中基因之间相对稀疏的多关系知识和 疾病得以保存。) 2. We curate human genes and diseases in seven mainstream datasets and construct a massiveContinue reading “Our matrix/tensor joint decomposition model is published in JBI”

Let’s say “Congrats” to Xuan Guan, and other young guys who newly assembled a SRF team and received a “tiny” funding to start their “tiny” research.

Actually, there is never a “tiny” research. Every subtle interest in science may sparkle huge motive to achieve something big. Let me say congratulations to all of you. 关璇、李梓悦、韩俊敏、牛一冰、吴璐璐。 They planned to run a network diffusion algorithm to handle two sorts of heterogeneous data for bladder cancer, one of which comes from text mined gene-diseaseContinue reading “Let’s say “Congrats” to Xuan Guan, and other young guys who newly assembled a SRF team and received a “tiny” funding to start their “tiny” research.”