创始人以第一作者发表的代表性研究，与分类器的真实输出——可作为科研合作能力的直接佐证。Selected first-author studies and real classifier output — direct evidence of our research-collaboration capability.
两条互补的科研服务线：一套面向科研的脑肿瘤 AI 甲基化分类器，以及面向研究团队的临床甲基化研究全流程方法学辅导。Two complementary research service lines: an AI methylation classifier for CNS tumors, and full-pipeline methodology advisory for clinical methylation-research teams.
基于冻结特征面板的 AI 集成分类器，覆盖中枢神经系统肿瘤参照分类，输出校准化的三态判读与结构化报告（科研用途）。An AI ensemble classifier on a frozen feature panel, covering CNS tumor reference classes, with calibrated three-state readout and structured reporting (research use).
面向开展 CNS 肿瘤甲基化研究的团队，提供从原始数据到模型落地的全流程思路辅导与方法学指导。For teams running CNS-tumor methylation studies — guidance from raw data to a deployable model, with rigorous methodology throughout.
我们的分类引擎不仅追求准确率，更强调可校准的置信度与对不确定性的诚实表达——这正是高质量甲基化分类算法的核心。Our engine optimizes not only accuracy but calibrated confidence and an honest treatment of uncertainty — the core of a high-quality methylation-classification algorithm.
先剔除平台间系统性差异最大的 CpG，再以最近质心（平台稳健的相关系数）与随机森林双读集成，并经温度校准给出可比概率。EPICv2 严格作为独立验证集，不参与训练或调参。After removing the CpGs most affected by cross-platform bias, a nearest-centroid and random-forest dual read are ensembled and temperature-calibrated. EPICv2 is held out strictly for independent validation.
在分类之外提供拷贝数变异、MGMT-STP27 启动子甲基化状态、UMAP/t-SNE 临近群定位，以及肿瘤纯度与微环境解卷积，构成完整、可解释的证据链。Beyond classification: copy-number variation, MGMT-STP27 status, UMAP/t-SNE localization, and deconvolution of tumor purity and microenvironment — a complete, interpretable evidence chain.
默赛生基因科技专注于基于 DNA 甲基化谱的肿瘤分类研究。我们整合全球公开甲基化数据集与本地临床样本，构建肿瘤甲基化表型分类模型，致力于攻克中枢神经系统（CNS）肿瘤、尤其是儿童脑肿瘤的分类难题。Mosaisheng Gene Technology focuses on DNA-methylation-based tumor classification research. By integrating globally available reference datasets with locally curated clinical samples, we build methylation-phenotype classification models to tackle the classification challenges of central nervous system (CNS) tumors — pediatric brain tumors in particular.
通过整合尖端甲基化检测、前沿计算方法与深厚的神经病理专业知识，我们提供精确、可靠、可解释的肿瘤分类科研解决方案与算法模型。Combining advanced methylation assays, state-of-the-art computation and deep neuropathology expertise, we deliver accurate, reliable and interpretable classification research solutions and algorithmic models.
依托与临床及科研伙伴的广泛合作，我们致力于把前沿方法学转化为可操作的科研课题合作与分类模型方案，推动神经肿瘤学研究的创新。Through extensive collaboration with clinical and research partners, we translate frontier methodology into actionable research collaborations and classification-model solutions that advance neuro-oncology research.
方法学承袭 Heidelberg / DKFZ 神经病理甲基化分类体系，对标国际标准。Methodology rooted in the Heidelberg / DKFZ neuropathology methylation-classification ecosystem.
结合国内临床样本进行验证与校准，贴合本地科研与样本场景。Validated and calibrated with domestic clinical samples for local research settings.
校准概率 + 三态弃判 + 离群检测，测不准即明确弃判。Calibrated probabilities, three-state abstention and out-of-distribution detection — uncertainty is reported, not hidden.
侯仰昊博士在德国海德堡大学神经病理科完成医学博士训练，师从甲基化分类体系奠基人之一、WHO 肿瘤分类指南编委 Andreas von Deimling 教授，系统掌握中枢神经系统肿瘤的甲基化分型、组织学与分子诊断，并具备 R 语言甲基化数据分析（Nanopore / Illumina / NGS）能力。Dr. Hou completed his doctoral training at Heidelberg University's Department of Neuropathology under Prof. Andreas von Deimling, mastering CNS-tumor methylation classification, histology and molecular diagnostics, with R-based methylation analysis across Nanopore, Illumina and NGS.
现任重庆医科大学基础医学院病理学系讲师，并担任分子医学检测中心临床病理医师与甲基化平台负责人，持续从事中枢神经系统肿瘤甲基化谱分类与 AI 算法研究，将国际前沿方法学与本地临床样本相结合——这正是默赛生分类服务的根基。He is now a lecturer in Pathology at Chongqing Medical University and serves as clinical pathologist and methylation-platform lead at the Molecular Medicine Testing Center, continuing research on CNS-tumor methylation classification and AI algorithms that bridges international methodology with local clinical samples — the foundation of Mosaisheng's services.
国家神经疾病医学中心胶质瘤 MDT 专科联盟理事 · 欧洲神经肿瘤组委会成员 · 欧洲神经病理学组会委员 · 中国微循环学会转化医学专业青年委员会委员Council member, National Glioma MDT Alliance · member, European neuro-oncology committee · member, European neuropathology working group · youth committee, Chinese Society for Microcirculation (Translational Medicine)
说明：本会诊为神经病理亚专科的专业意见咨询服务，所出具的意见供临床医师与患者参考，不替代主诊医师及出具报告机构的最终诊断与诊疗决策。Note: this is a professional second-opinion neuropathology consultation. Opinions provided are for reference by clinicians and patients and do not replace the final diagnosis or treatment decisions of the attending physician and reporting institution.
推荐通过在线申请表提交（支持切片 / 影像上传、自动通知）；也可直接填写下方表单生成邮件。受理后将反馈资料要求、时限与费用。Submit via the online form (supports slide / imaging uploads and auto-notification); or use the form below to draft an email. We will reply with required materials, turnaround and fees.
无论是分类算法合作、数据分析方法学，还是脑肿瘤亚专科会诊，欢迎与我们联系。Whether for classification-algorithm collaboration, data-analysis methodology, or brain-tumor subspecialty consultation — we would be glad to hear from you.
