Research network研究知识网络
A knowledge graph of brain-tumor cell biology and AI virtual cells. Each topic page answers a research question, maps the evidence and states what remains uncertain. All pages are drafts pending expert review.脑肿瘤细胞生物学与 AI 虚拟细胞的知识图谱。每个专题页回答一个研究问题、梳理证据并列明尚不确定之处。所有页面均为待专家审阅的初稿。
Recurrent transcriptional programs of malignant cells, such as the four GBM states of Neftel et al.恶性细胞反复出现的转录程序，如 Neftel 等提出的 GBM 四种状态。
How cells move between states — plasticity under therapy, microenvironment and time.细胞如何在状态间转换——治疗、微环境与时间作用下的可塑性。
Computational models that represent cell states or predict responses to perturbations.表征细胞状态或预测扰动反应的计算模型。
Single-cell, spatial and model-system resources that could train or test brain-tumor virtual cells.可用于训练或检验脑肿瘤虚拟细胞的单细胞、空间与模型系统资源。
Genetic, drug and radiation perturbation data — the paired “intervention → state” data virtual cells need.基因、药物与放射扰动数据——虚拟细胞所需的“干预→状态”配对数据。
How claims are tested: benchmarks, baselines, challenges and critiques.如何检验结论：基准、基线、挑战赛与批评。