个人简介

王以瑄 博士，9999js金沙老品牌，长空博士后，助理教授。研究方向围绕生物信息计算与数字健康；研究工作聚焦多靶标多终点联立的泛癌免疫治疗临床决策支持；主持国家自然科学基金青年项目一项。

学术成果

1. Accurately estimating the length distributions of genomic micro-satellites by tumor purity deconvolution, BMC Bioinformatics, 2020, 21(S2): 82, doi: 10.1186/s12859-020-3349-5
2. A graph-based algorithm for estimating clonal haplotypes of tumor sample from sequencing data , BMC Medical Genomics, 2019, 12(S1): 27, doi: 10.1186/s12920-018-0457-4
3. CMSI: A Bayesian model for estimating clonal micro-satellites instability from NGS data, Cancer Research, 79(13 Suppl): Abstract nr LB-215, doi: 10.1158/1538-7445.AM2019-LB-215
4. A Joint Model Considering Measurement Errors for Optimally Identifying Tumor Mutation Burden Threshold, Frontiers in Genetics, 2022, 13: 915839, doi: 10.3389/fgene.2022.915839
5. TMBcat: A multi-endpoint p-value criterion on different discrepancy metrics for superiorly inferring tumor mutation burden thresholds, Frontiers in Immunology, 2022, 13: 995180, doi: 10.3389/fimmu.2022.995180
6. TMBserval: a statistical explainable learning model reveals weighted tumor mutation burden better categorizing therapeutic benefits, Frontiers in Immunology, 2023, 14:1151755, doi: 10.3389/fimmu.2023.1151755

承担项目

1. 国家自然科学基金青年项目，62302215，多维动态生物标志物辅助肿瘤免疫治疗多终点融合决策研究，2024/1-2026/12，主持；
2. 南京航空航天大学校人才科研启动基金，1003-YAH23029，主持