5 citations · 5 across the 3 of their papers we have counts for
4 papers
Automated Enrichment Analysis with GraphRAG: Efficient Multi-Database ORA Extraction and Biological Interpretation
Guangcan Li, Shuyuan Zheng, Jiayao Liu +2
Over-representation analysis (ORA) is widely used to interpret gene-expression studies, but its outputs are often fragmented across gene-set databases and presented as flat term li…
Learning from Similarity Proportion Loss for Classifying Skeletal Muscle Recovery Stages
Yu Yamaoka, Weng Ian Chan, Shigeto Seno +2
Evaluating the regeneration process of damaged muscle tissue is a fundamental analysis in muscle research to measure experimental effect sizes and uncover mechanisms behind muscle…
Simulating reaction time for Eureka effect in visual object recognition using artificial neural network
Kazufumi Hosoda, Shigeto Seno, Tsutomu Murata
The human brain can recognize objects hidden in even severely degraded images after observing them for a while, which is known as a type of Eureka effect, possibly associated with…
It's DONE: Direct ONE-shot learning with quantile weight imprinting
Kazufumi Hosoda, Keigo Nishida, Shigeto Seno +3
Learning a new concept from one example is a superior function of the human brain and it is drawing attention in the field of machine learning as a one-shot learning task. In this…