Author
Institute of Medical Science, The University of TokyoORCID 0000-0002-6851-8004Unclaimed ORCID profile · follow to get notified of new preprints
4 papers
Recent·Most cited
Takanori Hasegawa, Shuto Hayashi, Eigo Shimizu…·Seiya Imoto
The paper introduces an R package for predicting tumor-specific neoantigens from various mutations and integrating additional biological information.
Atsushi Niida, Takanori Hasegawa, Satoru Miyano
This paper introduces MASSIVE, a novel sensitivity analysis method for agent-based simulations using parallel computation and visualization, applied to cancer evolution and identifying heterogeneous tumor conditions.
Yusuke Matsui, Atsushi Niida, Ryutaro Uchi…·Teppei Shimamura
The paper introduces phyC, a clustering method for cancer sub-clonal evolutionary trees, and shows it detects clusters related to cancer type or phenotype in real data.
Atsushi Niida, Satoshi Ito, Georg Tremmel…·Satoru Miyano
The paper uses a computational model to identify principles of intratumor heterogeneity in cancer evolution.