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Upload XCell normalized payload

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+ # X-Atlas/Orion 处理流程
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+
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+ ## 1. 纳入边界
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+
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+ 本来源使用 Xaira Therapeutics 官方发布的 `X-Atlas/Orion`,而不是尚未提供
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+ payload 的 `X-Atlas/Pisces` 页面。Orion 包含两个独立的人源 genome-wide
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+ CRISPRi Perturb-seq 背景:HCT116 和 HEK293T。两者始终分别记录为训练单元,
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+ 不跨细胞背景合并细胞或 control。
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+
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+ - 官方仓库:`Xaira-Therapeutics/X-Atlas-Orion`
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+ - 固定 revision:`53a5bc98d49247bcf967500292575c3d3602de31`
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+ - 数据页:<https://huggingface.co/datasets/Xaira-Therapeutics/X-Atlas-Orion>
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+ - 实验论文:<https://doi.org/10.1101/2025.06.11.659105>
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+ - 作者 processed H5AD 归档(仅作交叉证据,未下载):
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+ <https://doi.org/10.25452/figshare.plus.29190726>
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+ - 许可:CC BY-NC-SA 4.0
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+ - HCT116:109 个 Parquet shard
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+ - HEK293T:223 个 Parquet shard
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+ - 原始矩阵:作者明确标注的 UMI raw counts
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+ - 物种:human(GRCh38 2024-A)
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+
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+ 大文件下载运行时同时清除大小写两套 HTTP/HTTPS/ALL proxy 环境变量。若
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+ `huggingface.co` 裸直连 DNS/路由不可用,则使用可直连的公网 Hugging Face
24
+ 镜像 endpoint;这仍是 proxy-off 下载,并在下载状态 JSON 中记录 endpoint、
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+ revision、shard 数和字节数。
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+
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+ ## 2. 细胞和扰动筛选
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+
29
+ 只纳入作者字段 `pass_guide_filter == 1` 的细胞,即包含来自同一 guide pair、
30
+ 靶向同一基因的两条有效 sgRNA。以下字段直接来自作者数据,不用正则推断:
31
+
32
+ - `gene_target`:扰动基因的官方 gene symbol;
33
+ - `guide_target`:双 guide identity;
34
+ - `sample`:GEM batch;
35
+ - `gene_target == "Non-Targeting"`:唯一 control/reference 规则;
36
+ - `gene_token_id` + `gene_expression`:非零基因及 raw UMI counts。
37
+
38
+ 作者只提供 GEM batch,没有可独立解释为生物学重复的 replicate ID;因此
39
+ `batch_id` 保留 `sample`,而 `replicate`/`replicate_id` 留空,不能把技术 batch
40
+ 冒充 biological replicate。
41
+
42
+ 论文 Methods 记录两种细胞均以 MOI 0.1 转导、在转导后第 3–5 天进行
43
+ puromycin selection,并在
44
+ 第 7 天进入 10x 单细胞测序;因此标准字段固定为
45
+ `context=day7_post_transduction`、`perturbation_duration_h=168`,unit ID 也显式
46
+ 包含 `day7`,同时保存 `multiplicity_of_infection=0.1`,不以 `unknown` 或泛化的
47
+ basal context 代替。
48
+
49
+ 论文报告 HCT116 与 HEK293T 的 median on-target knockdown 分别为 75.4% 和
50
+ 51.5%,NTC batch 间 median Spearman correlation 分别约为 0.993 和 0.988。
51
+ 这支持在各自 cell context 内显式使用 batch covariate,但不能据此把两种细胞
52
+ 合并为一个训练单元。作者还指出 sgRNA abundance 与 knockdown 强度相关;本版
53
+ 保留 guide identity 和原始 `num_features`,但源 Parquet 不含逐细胞 guide UMI
54
+ 数,因此不伪造连续 perturbation-dose 字段。
55
+
56
+ 标准化后,perturbed `condition` 和 `target_gene_symbol` 均使用官方 gene
57
+ symbol;Non-Targeting 细胞统一为 `condition=ctrl1`、`is_control=true`、
58
+ `is_reference=true`、`control_type=non_targeting_guide`。每个 batch 必须实际
59
+ 存在 Non-Targeting reference anchor,否则整个训练单元停止并标记 blocked,
60
+ 不允许跨 batch 硬配 control。
61
+
62
+ ## 3. 基因和表达矩阵
63
+
64
+ `metadata/gene_metadata.parquet` 提供 token、Ensembl ID 和可用的官方 gene
65
+ symbol映射。重复gene symbol在同一细胞内按raw count求和;来源没有symbol的
66
+ feature保留Ensembl ID作为`var_names`回退。每个最终文件共38,584个唯一feature,
67
+ 其中12,962个为`ENSG...`回退;`var`同时保留来源Ensembl ID、token和折叠数量。
68
+ 标准H5AD语义为:
69
+
70
+ - `layers["counts"]`:确认的 raw UMI counts;
71
+ - `X`:每个细胞 `normalize_total(target_sum=1e4)` 后的 natural `log1p`;
72
+ - `var_names`:文件内唯一,官方gene symbol优先、缺失时Ensembl ID回退;
73
+ - `var[ncounts,ncells,sum_squared_counts]`:由全量 raw counts 精确累计;
74
+ - `obs_names`:`<training_unit_id>::<source_cell_id>`。
75
+
76
+ 转换按 shard 流式执行,不把全基因矩阵整体载入 RAM。每个 shard 完成后将
77
+ `n_obs`、`nnz`、基因矩和 obs 分片作为一个事务提交;中断重启时先把 HDF5
78
+ 截断到最后一次完整提交。`X` 和 `layers["counts"]` 使用相同 CSR sparsity,
79
+ 其 `indices`/`indptr` 通过 HDF5 hard link 共享,raw 和 log1p data 仍分别保存。
80
+
81
+ ## 4. scVI 表征
82
+
83
+ 每个最终 H5AD 独立训练 scVI,不跨 HCT116/HEK293T 共享 latent space。
84
+
85
+ - 输入:`layers["counts"]`;
86
+ - HVG:4000;从全量 raw-count 精确一阶/二阶矩计算分箱标准化 dispersion;
87
+ - batch key:`batch_id`(严格等于作者 `sample`);
88
+ - model:SCVI,NB likelihood,2 layers,128 hidden,30 latent;
89
+ - 输出:逐细胞 `obsm["X_scVI"]`;
90
+ - provenance:`uns["cellclip_scvi"]` 和 `manifest/SCVI_RUNS.tsv`。
91
+
92
+ HVG counts 被流式抽取成 memory-mapped CSR,避免载入其余约 3.8 万基因。两个
93
+ cell context 可分别占用 GPU 并行训练,但 CPU affinity 总计不超过 56 核,
94
+ 也不并发写同一个 H5AD。
95
+
96
+ ## 5. Modeling centers 与 OT
97
+
98
+ 完成 scVI 后,两单元进入与 scPerturb/PerturBase 完全相同的 modeling 流程:
99
+
100
+ 1. 每个单元只保留 HVG5000;
101
+ 2. control 分布和每个 perturbed condition 分别在 `X_scVI` 中聚类;
102
+ 3. 原始细胞数 `n < 64` 时固定一个中心;
103
+ 4. `n >= 64` 时中心数必须使 `64 <= n/k <= 200`;
104
+ 5. 中心表达为成员 raw counts 求和后 CP10K natural log1p,不是单细胞均值;
105
+ 6. 保存 within-cluster、between-center、condition-neighbor 和 control-effect
106
+ 异质性;
107
+ 7. 在 GPU 上用带成员权重的 log-Sinkhorn OT,将每个 perturbed center 固化为
108
+ 一个 `paired_control_index`;
109
+ 8. 输出独立 control-center H5AD 和 perturbed-center H5AD,后者保存 OT mass、
110
+ probability、cost、solver 和配对状态。
111
+
112
+ 超大稀疏 counts 不整体读入内存:HVG5000 使用转换阶段保存的精确 gene
113
+ moments 选择,伪 bulk 按 CSR 行块聚合。
114
+
115
+ ## 6. 必须通过的验证
116
+
117
+ - 输入细胞数 = control cells + perturbed cells;
118
+ - 每个分布成员数在中心间守恒;
119
+ - 每个正常分布压缩率在 64–200,sub-64 例外恰好一个中心;
120
+ - 所有 HVG 的 source raw-count 总和与所有中心 `sum_counts` 严格相等;
121
+ - `X` 可由 `sum_counts` 的 CP10K natural log1p 重建;
122
+ - `X_scVI` 行数和 30 维 latent 完整且 finite;
123
+ - 所有 paired index 位于对应 control 文件范围内;
124
+ - 不存在无安全 reference 时的跨 batch 配对;
125
+ - manifest、状态 TSV/JSON 和实际 H5AD 数量、行数、字节数一致。
126
+
127
+ 最终 upload-ready 清理只保留标准化 H5AD、modeling center H5AD、机器 manifest
128
+ 及本处理/使用文档;官方 raw Parquet、下载缓存、scVI memory map、临时 obs
129
+ 分片和论文 PDF 在校验完成后删除。
xcell/README.md ADDED
@@ -0,0 +1,49 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # XCell / X-Atlas Orion 发布说明
2
+
3
+ 本目录收录 Xaira Therapeutics `X-Atlas/Orion` 的两个人源 CRISPRi
4
+ Perturb-seq 训练单元。HCT116 与 HEK293T 的实验背景、batch anchor 和 scVI
5
+ 空间不同,因此始终分别保存、分别建模,不把细胞跨文件混合。
6
+
7
+ | 训练单元 | 细胞 | Non-Targeting reference | perturbed | gene condition | GEM batch | 基因 |
8
+ | --- | ---: | ---: | ---: | ---: | ---: | ---: |
9
+ | HCT116, day 7 | 3,409,169 | 165,777 | 3,243,392 | 18,293 | 109 | 38,584 |
10
+ | HEK293T, day 7 | 4,534,299 | 218,838 | 4,315,461 | 18,311 | 223 | 38,584 |
11
+ | **合计** | **7,943,468** | **384,615** | **7,558,853** | **36,604(逐单元求和)** | **332** | — |
12
+
13
+ | 训练单元 | control centers | perturbed centers | paired | unmatched | 整体压缩 |
14
+ | --- | ---: | ---: | ---: | ---: | ---: |
15
+ | HCT116, day 7 | 869 | 25,921 | 25,921 | 0 | 127.25× |
16
+ | HEK293T, day 7 | 1,700 | 31,665 | 31,665 | 0 | 135.90× |
17
+ | **合计** | **2,569** | **57,586** | **57,586** | **0** | **132.05×** |
18
+
19
+ 最终单细胞文件位于 `model_ready/genepert/`。其 `layers["counts"]` 是作者
20
+ 发布的 raw UMI count,`X` 是逐细胞 CP10K 后 natural `log1p`。`var_names` 在
21
+ 文件内唯一:官方 gene symbol 优先,来源缺失symbol的12,962个feature以Ensembl
22
+ gene ID回退;30维per-file scVI表征位于 `obsm["X_scVI"]`。
23
+
24
+ 供配对训练直接使用的 HVG5000 多中心文件位于 Stage 1 的统一目录:
25
+
26
+ - `modeling/control_centers/XCell/genepert/`
27
+ - `modeling/perturbed_centers/XCell/genepert/`
28
+
29
+ perturbed center 通过 `paired_control_index` 指向同一训练单元 control 文件的
30
+ 零基行号。不同 H5AD 的 scVI latent 不共享坐标系,不能跨 HCT116/HEK293T
31
+ 重新按 latent 距离配对。
32
+
33
+ ## 数据边界
34
+
35
+ - 只纳入作者 `pass_guide_filter == 1` 的细胞。
36
+ - `gene_target == "Non-Targeting"` 是直接来自作者字段的唯一 reference 规则,
37
+ 不是由条件名正则推测。
38
+ - perturbed condition 与 `target_gene_symbol` 均为作者发布的官方 gene symbol。
39
+ - effect cell 的 `target_gene_symbol_status="official_source_gene_symbol"`;这表示
40
+ 来源字段是官方symbol,但使用具体基座模型时仍须检查其是否存在于模型vocab。
41
+ - `sample` 保存为 `batch_id`;它代表 GEM batch,不被冒充为 biological
42
+ replicate。每个 batch 均验证有 Non-Targeting anchor。
43
+ - 两个单元均为 day 7、MOI 0.1;该实验 context 已写入 H5AD 和总 manifest。
44
+ - 原始来源许可为 CC BY-NC-SA 4.0;再发布和商用边界必须遵循原许可。
45
+
46
+ 完整转换、断点恢复、scVI、聚类、异质性与 OT 规则见
47
+ [PROCESSING.md](PROCESSING.md)。训练选择和所有文件的权威统计分别以
48
+ `../manifest/TRAINING_UNITS.tsv`、`../manifest/SCVI_RUNS.tsv` 与
49
+ `../modeling/manifest/MODELING_UNITS.tsv` 为准。
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