GAPE: Complete Biological Physics Validation Package (Informational Actualization Model applied to mammalian somatic cell architecture)

Complete biological physics validation package for the Informational Actualization Model (IAM) applied to mammalian somatic cell architecture, snapshot as of April 17, 2026 Core claim. Every mammalian somatic cell class has a minimum thermodynamic cost for maintaining its epigenomic identity through cell division, derived from the Landauer principle applied to DNMT1-mediated CpG methylation maintenance at physiological temperature. This defines a class-specific Shannon entropy floor, H_min. The ratio of observed entropy to floor is a single dimensionless index, the A-score. In health, A is approximately 1.0. Cancer is a measurable departure from it. The detection threshold A greater than 1.05 was derived entirely from healthy-cell requirements; no cancer data was used to set it. Five substrates, one framework. The same formula applies identically across five independent physical substrates: DNA methylation, nucleosome occupancy, nucleosome fuzziness, windowed protection score, and cfDNA fragment size entropy. All five H_min values are now MCMC-confirmed with R-hat less than 1.001. Primary validation results: G-002 MCMC (methylation): H_min posteriors for 8 architecture classes validated against 37 published reference cell measurements. 17 chains, R-hat less than 1.001, 800,000 samples. Principal discovery: immune class correction from 0.795 to 0.8389 plus or minus 0.004 (6.44 sigma tension resolved by neutrophil reference data). G-003b MCMC (four additional substrates): 32 posteriors (8 classes by 4 substrates), 5 chains by 32 walkers by 5,500 steps, R-hat less than 1.001, 800,000 samples per substrate, 42.1-second runtime on standard laptop. G-008 zero-free-parameter cancer prediction: A_tumor greater than A_normal correctly predicted for 27 of 28 TCGA cancer types across 4,304 matched tumor-normal pairs. TGCT architectural inversion predicted and confirmed. DCIS stratification: physics-derived threshold sits between low-grade DCIS (A = 1.045) and high-grade DCIS (A = 1.101). Alzheimer's disease: terminal-class A-score elevation confirmed in ROSMAP (n = 740) and BDR (n = 631) cohorts. Signal 20 to 40 times smaller than GBM, same floor, different failure mode. E(a_bio) activation function: recovers biological actualization ceiling t_max = 120.3 plus or minus 7.1 years, consistent with Gompertz-Makeham human lifespan limit. n_bio ordering: Spearman rho = 0.905 (p = 0.002) between engine estimates and published Seahorse OCR/ECAR data across 8 architecture classes. Extended validation record (35 studies total). VAL-001 through VAL-013 cover methylation-substrate validation (TCGA field effect p = 1.32 times ten to the minus 15, OSK rejuvenation 85 percent reversal, cross-species canine confirmation at 70 million years divergence, pre-cancer window A = 1.01 to 1.05, HCC combined score with 8 times separation from cirrhosis). VAL-014 through VAL-033 extend to the four non-methylation substrates (MESA theory with d_combined over d_single = 1.15 times interpretation, nucleosome occupancy in breast cancer, fuzziness in prostate grading, WPS in 15 tissues 8 years before MESA, fragment size AUC = 0.940 across 7 cancers, field effect confirmed in all four substrates at p less than ten to the minus 11). VAL-034 through VAL-036 cover pan-mammalian and vertebrate extension predictions. Eight things the data established. Field cancerization is substrate-independent (thermodynamic phenomenon, not a methylation artifact). H_min is species-independent (0.004 A-score difference across 70 million years). Brain tumors produce the largest signal of any cancer type tested (LGG delta-A = 0.273, GBM delta-A = 0.228). The pre-cancer window A = 1.01 to 1.05 is substrate-independent (geometric property of the Shannon curve). MESA explained from first principles (inter-substrate r = 0.54, ceiling AUC = 1.000). Normal aging does not reach the cancer threshold (approximately 1,075-year extrapolation). D+Q senolytic therapy: only GAPE moves in the correct direction; all published clocks move wrongly. Five zero-free-parameter clinical test designs emerge from the framework (HCC combined score, CSF glioma grading, TGCT inversion as universal negative control, multi-fluid triage protocol, D+Q reversibility pharmacodynamic readout). Honest caveats disclosed. VAL-003 pipeline normalization (sesame versus GenomicStudio offset), VAL-003 pair count reconciliation (4,304 live versus 4,092 analyzable), VAL-002 cell fraction QC outside Salas 2018 range, VAL-004 global-mean beta proxy, VAL-007 healthy class means below 1.0 (pipeline offset), VAL-012 D+Q global-mean proxy awaiting class-stratified EPIC, non-methylation slope amplification from Shannon curve geometry. Disclosed before referees raise them. Contents. Preprint PDF and LaTeX source. HTML evidence report with expandable detail tables. Evidence database in JSON and TSV formats with full provenance. MCMC chain generator scripts. Validation scripts VAL-001 through VAL-036. Figure generation script. Reproducibility. Every result reproducible from included scripts. All beta values from publicly available primary sources cited in the scripts and paper bibliography. Provenance hashes for each data entry included. Python 3.9 or later with pip install numpy scipy. No proprietary data. No API keys. Relationship to IAM cosmology. This work is the biological application of the Informational Actualization Model, an independent cosmological research program applying the Landauer principle universally across physical scales. The IAM cosmological validation package is archived separately (DOI 10.5281/zenodo.18702042). The biological work stands on its own empirical validation and does not require the cosmological work to be evaluated. Patent status. Analytical methodology protected under U.S. Provisional Patent Applications 64/012,720 (filed March 21, 2026) and 64/014,568 (filed March 23, 2026). Derived results and biological tools released as open science with no commercial restriction on research use. Preprint, April 2026. All predictions tested against published data only. Prospective clinical validation has not been performed. Live interactive demonstration and continuously-updated evidence report: https://iamperformance.net GitHub repository: https://github.com/hmahaffeyges/IAM-Validation本数据集为应用于哺乳动物体细胞架构的信息实现模型（Informational Actualization Model, IAM）的完整生物物理学验证包，快照截止至2026年4月17日。 核心主张。所有哺乳动物体细胞类型在通过细胞分裂维持其表观基因组身份时，均存在最低热力学成本，该结论由生理温度下DNMT1介导的CpG甲基化维持过程应用兰道尔原理（Landauer principle）推导而来。此成本定义了类型特异性香农熵（Shannon entropy）下限H_min。观测熵与该下限的比值为单一无量纲指标——A评分（A-score）。健康状态下，A值约为1.0；癌症则表现为可观测的偏离该值的状态。A值大于1.05的检测阈值完全基于健康细胞的需求推导得出，未使用任何癌症数据进行阈值设定。 五大底物，统一框架。同一公式可无差别适用于五种独立的物理底物：DNA甲基化、核小体占据率、核小体模糊度、窗口保护评分以及循环游离DNA（cfDNA）片段大小熵。目前五种H_min值均已通过马尔可夫链蒙特卡洛（Markov Chain Monte Carlo, MCMC）验证，R-hat值均小于1.001。 主要验证结果： G-002 MCMC（甲基化底物）：针对8种体细胞架构类别的H_min后验分布，与37项已发表的参考细胞测量结果进行验证。实验包含17条马尔可夫链，R-hat值小于1.001，共采集800,000个样本。核心发现：免疫细胞类别的修正值从0.795调整至0.8389±0.004（通过中性粒细胞参考数据解决了6.44σ的张力偏差）。 G-003b MCMC（其余四种底物）：共32组后验分布（8种类别×4种底物），每组采用5条链×32个行走者×5500步的采样配置，R-hat值均小于1.001，每种底物采集800,000个样本，在标准笔记本电脑上的运行时长为42.1秒。 G-008 零自由参数癌症预测：针对4304对匹配的肿瘤-正常样本，覆盖28种癌症基因组图谱（The Cancer Genome Atlas, TCGA）癌症类型，肿瘤A值大于正常组织A值的预测准确率为27/28。同时预测并验证了睾丸生殖细胞肿瘤（Testicular Germ Cell Tumor, TGCT）的架构反转现象。 导管原位癌（Ductal Carcinoma In Situ, DCIS）分层：基于物理学推导的阈值可有效区分低级别DCIS（A=1.045）与高级别DCIS（A=1.101）。 阿尔茨海默病（Alzheimer's disease）：在ROSMAP队列（n=740）与BDR队列（n=631）中，均验证了终末细胞类别的A评分升高现象。该信号强度仅为胶质母细胞瘤（GBM）的1/20至1/40，二者共享同一熵下限，但存在不同的细胞失效模式。 E(a_bio)激活函数：可还原得到生物实现上限t_max=120.3±7.1年，该结果与贡珀茨-梅克汉姆（Gompertz-Makeham）人类寿命极限相符。 n_bio排序分析：针对8种体细胞架构类别，模型引擎估算值与已发表的Seahorse细胞外氧消耗率（Oxygen Consumption Rate, OCR）/细胞外酸化率（Extracellular Acidification Rate, ECAR）数据之间的斯皮尔曼ρ相关系数为0.905（p=0.002）。 扩展验证数据集（总计35项研究）：VAL-001至VAL-013涵盖甲基化底物验证相关研究，包括TCGA场效应分析（p=1.32×10^-15）、OSK重编程实现85%的表观遗传逆转、7000万年分化跨度的跨物种犬类验证、癌前窗口A值范围为1.01至1.05、肝细胞癌（HCC）联合评分与肝硬化的区分度达8倍；VAL-014至VAL-033将验证扩展至四种非甲基化底物，包括MESA理论的d_combined/d_single=1.15倍解释度、乳腺癌中的核小体占据率分析、前列腺癌分级中的核小体模糊度分析、早于MESA研究8年的15种组织窗口保护评分（WPS）分析、7种癌症中的cfDNA片段大小曲线下面积（Area Under the Curve, AUC）=0.940，且四种底物的场效应均得到验证（p<10^-11）；VAL-034至VAL-036则涵盖全哺乳动物及脊椎动物的跨物种扩展预测。 本数据集确立了八项核心结论：1. 区域癌化属于底物非依赖性热力学现象，并非甲基化伪影；2. H_min为物种非依赖性指标，7000万年分化跨度的物种间A评分差异仅为0.004；3. 脑肿瘤是所有测试癌症类型中信号强度最高的类别，其中低级别胶质瘤（LGG）的ΔA=0.273，胶质母细胞瘤（GBM）的ΔA=0.228；4. 癌前窗口A值范围1.01至1.05为底物非依赖性特性，由香农曲线的几何属性决定；5. 从第一性原理出发可完整解释MESA现象，底物间相关系数r=0.54，理论上限AUC=1.000；6. 正常衰老未达到癌症阈值，相关外推计算显示正常衰老需约1075年才会突破该阈值；7. D+Q衰老细胞清除疗法中，仅GAPE评分沿正确方向变化，所有已发表的生物时钟均出现错误偏移；8. 本框架可衍生出五项零自由参数临床测试设计：肝细胞癌联合评分、脑脊液胶质瘤分级、睾丸生殖细胞肿瘤反转作为通用阴性对照、多体液分诊方案、D+Q疗法可逆性的药效动力学读数。 已主动披露的严谨性说明：VAL-003流程归一化差异（sesame与GenomicStudio的偏移量差异）、VAL-003样本对计数核对（4304例可用样本vs4092例可分析样本）、VAL-002细胞组分质量控制结果超出Salas 2018年参考范围、VAL-004采用全局平均β值作为替代指标、VAL-007健康类别均值低于1.0（流程偏移导致）、VAL-012 D+Q全局均值替代指标有待分层Infinium EPIC芯片（EPIC）验证、非甲基化底物的斜率放大效应源自香农曲线几何特性。所有问题均在审稿人提出前主动披露。 数据集内容：预印本PDF及LaTeX源文件；包含可展开详情表格的HTML证据报告；带有完整溯源信息的JSON及TSV格式证据数据库；马尔可夫链蒙特卡洛链生成脚本；VAL-001至VAL-036验证脚本；图表生成脚本。 可复现性说明：所有结果均可通过附带脚本复现。所有β值均来自公开可用的原始数据源，并在脚本及论文参考文献中注明；每个数据条目均包含溯源哈希值；需使用Python 3.9及以上版本，通过pip安装numpy、scipy库；本数据集不包含专有数据，无需API密钥。 与IAM宇宙学框架的关联：本工作为信息实现模型（IAM）的生物学应用分支，IAM是一项独立的宇宙学研究计划，将兰道尔原理全域性地应用于所有物理尺度。IAM宇宙学验证包已单独存档（DOI: 10.5281/zenodo.18702042）。本生物学研究仅依赖自身的经验验证，无需依赖宇宙学框架即可完成独立评估。 专利状态：本研究的分析方法受美国临时专利申请第64/012,720号（2026年3月21日提交）及第64/014,568号（2026年3月23日提交）保护。衍生结果及生物学工具以开放科学形式发布，对科研使用无任何商业限制。 2026年4月发布的预印本：所有预测仅基于已发表数据完成验证，尚未开展前瞻性临床验证。 实时交互式演示与持续更新的证据报告：https://iamperformance.net GitHub仓库：https://github.com/hmahaffeyges/IAM-Validation