Category Archives: Uncategorized

古诗有云：“翻山志高远，拍鱼意盎然。”

文章《CancerVar: An artificial intelligence–empowered platform for clinical interpretation of somatic mutations in cancer》https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9075800/   作者：Quan Li, Zilin Ren, Kajia Cao, Marilyn M. Li, Kai Wang, Yunyun Zhou  引用方式：Li, Q., Ren, Z., Cao, K., Li, M. M., Wang, K., & Zhou, Y. (2022). CancerVar: An artificial intelligence-empowered platform for clinical interpretation of somatic mutations in cancer. ScienceContinue reading “《CancerVar》论文评述”

文章《CancerMine: a literature-mined resource for drivers, oncogenes and tumor suppressors in cancer》https://www.nature.com/articles/s41592-019-0422-y#MOESM1   作者：Jake Lever , Eric Y. Zhao , Jasleen Grewal, Martin R. Jones and Steven J. M. Jones 引用方式：Lever, J. , Zhao, E. Y. , Grewal, J. , Jones, M. R. , & Jones, S. . (2019). Cancermine: a literature-mined resource for drivers, oncogenes and tumor suppressors in cancer.Continue reading “《CancerMine》论文评述”

这个学期的《生物文本挖掘与知识发现概论》课程结束了，课程论文册集结出来，舒了口气。Hope you would feel like the course.

Welcome you, Zhihan He, Qi Xiong, and Ziming Tang.

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”

宇星同学的硕士论文《活跃基因注释语料库及文本突变知识挖掘》获2020-2021学年度研究生优秀学位论文。恭喜！

https://www.bilibili.com/video/BV193411v7bR 欢迎弹幕支持。

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.”

We are biking. 能爬坡的肌肉都是强！ 大型爬坡现场视频。