maomlab/CaurisCEN

---
license: mit
configs:
- config_name: expression_matrix
data_files:
- split: train
path: expression_matrix/data/train-*
- config_name: gene_metadata
data_files:
- split: train
path: gene_metadata/data/train-*
- config_name: run_metadata
data_files:
- split: train
path: run_metadata/data/train-*
- config_name: top_coexp_hits_general
data_files:
- split: train
path: top_coexp_hits_general/data/train-*
- config_name: top_coexp_hits_strict
data_files:
- split: train
path: top_coexp_hits_strict/data/train-*
dataset_info:
- config_name: expression_matrix
features:
- name: gene
dtype: string
- name: B04-12457-TO-LP01_S1
dtype: float64
- name: A02-12457-TO-LP01_S1
dtype: float64
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dtype: float64
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dtype: float64
- name: E11-12457-TO-LP01_S1
dtype: float64
- name: B05-12457-TO-LP01_S1
dtype: float64
- name: G06-12457-TO-LP01_S1
dtype: float64
- name: D03-12457-TO-LP01_S1
dtype: float64
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dtype: float64
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dtype: float64
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dtype: float64
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dataset_size: 99159768
- config_name: top_coexp_hits_strict
features:
- name: feature_name_1
dtype: string
- name: feature_name_2
dtype: string
- name: gene_name_1
dtype: string
- name: description_1
dtype: string
- name: new_id_1
dtype: string
- name: gene_name_2
dtype: string
- name: description_2
dtype: string
- name: new_id_2
dtype: string
- name: score
dtype: float64
splits:
- name: train
num_bytes: 34365469
num_examples: 93245
download_size: 5029231
dataset_size: 34365469
---

许可证（license）: mit
配置项（configs）:
- 配置名称: expression_matrix（表达矩阵）
data_files（数据文件）:
- split（划分集）: train（训练集）
path（路径）: expression_matrix/data/train-*
- 配置名称: gene_metadata（基因元数据）
data_files（数据文件）:
- split（划分集）: train（训练集）
path（路径）: gene_metadata/data/train-*
- 配置名称: run_metadata（测序运行元数据）
data_files（数据文件）:
- split（划分集）: train（训练集）
path（路径）: run_metadata/data/train-*
- 配置名称: top_coexp_hits_general（通用共表达Top命中结果）
data_files（数据文件）:
- split（划分集）: train（训练集）
path（路径）: top_coexp_hits_general/data/train-*
- 配置名称: top_coexp_hits_strict（严格共表达Top命中结果）
data_files（数据文件）:
- split（划分集）: train（训练集）
path（路径）: top_coexp_hits_strict/data/train-*
数据集信息（dataset_info）:
- 配置名称: expression_matrix（表达矩阵）
features（特征字段）:
- name（名称）: gene（基因名）
dtype（数据类型）: string（字符串）
- name（名称）: B04-12457-TO-LP01_S1
dtype（数据类型）: float64（64位浮点型）
- name（名称）: A02-12457-TO-LP01_S1
dtype（数据类型）: float64（64位浮点型）
- name（名称）: F05-12457-TO-LP01_S1
dtype（数据类型）: float64（64位浮点型）
- 此处省略大量重复的样本列特征，格式均为「名称：测序样本标识，数据类型：64位浮点型（float64）」，与上述一致
splits（数据集划分）:
- name（名称）: train（训练集）
num_bytes（字节数）: 25861062
num_examples（样本数量）: 5594
download_size（下载大小）: 11491628
dataset_size（数据集总大小）: 25861062
- 配置名称: gen_metadata（运行元数据）
features（特征字段）:
- name（名称）: run_accession（运行登录号）
dtype（数据类型）: string（字符串）
- name（名称）: study_accession（研究登录号）
dtype（数据类型）: string（字符串）
- name（名称）: n_runs（运行总数）
dtype（数据类型）: int64（64位整型）
- name（名称）: condition（实验条件）
dtype（数据类型）: string（字符串）
splits（数据集划分）:
- name（名称）: train（训练集）
num_bytes（字节数）: 41760
num_examples（样本数量）: 576
download_size（下载大小）: 6486
dataset_size（数据集总大小）: 41760
- 配置名称: gene_metadata（基因元数据）
features（特征字段）:
- name（名称）: locus_tag_new（新基因座标签）
dtype（数据类型）: string（字符串）
- name（名称）: locus_tag_old（旧基因座标签）
dtype（数据类型）: string（字符串）
- name（名称）: transcript_id（转录本ID）
dtype（数据类型）: string（字符串）
- name（名称）: sacch_ortholog（酿酒酵母同源基因）
dtype（数据类型）: string（字符串）
- name（名称）: gene_name（基因名）
dtype（数据类型）: string（字符串）
- name（名称）: description（基因描述）
dtype（数据类型）: string（字符串）
splits（数据集划分）:
- name（名称）: train（训练集）
num_bytes（字节数）: 1181564
num_examples（样本数量）: 5563
download_size（下载大小）: 380938
dataset_size（数据集总大小）: 1181564
- 配置名称: top_coexp_hits_general（通用共表达Top命中结果）
features（特征字段）:
- name（名称）: feature_name_1（特征名1）
dtype（数据类型）: string（字符串）
- name（名称）: feature_name_2（特征名2）
dtype（数据类型）: string（字符串）
- name（名称）: gene_name_1（基因名1）
dtype（数据类型）: string（字符串）
- name（名称）: description_1（基因描述1）
dtype（数据类型）: string（字符串）
- name（名称）: new_id_1（新ID1）
dtype（数据类型）: string（字符串）
- name（名称）: gene_name_2（基因名2）
dtype（数据类型）: string（字符串）
- name（名称）: description_2（基因描述2）
dtype（数据类型）: string（字符串）
- name（名称）: new_id_2（新ID2）
dtype（数据类型）: string（字符串）
- name（名称）: score（共表达评分）
dtype（数据类型）: float64（64位浮点型）
splits（数据集划分）:
- name（名称）: train（训练集）
num_bytes（字节数）: 99159768
num_examples（样本数量）: 278150
download_size（下载大小）: 16904617
dataset_size（数据集总大小）: 99159768
- 配置名称: top_coexp_hits_strict（严格共表达Top命中结果）
features（特征字段）:
- name（名称）: feature_name_1（特征名1）
dtype（数据类型）: string（字符串）
- name（名称）: feature_name_2（特征名2）
dtype（数据类型）: string（字符串）
- name（名称）: gene_name_1（基因名1）
dtype（数据类型）: string（字符串）
- name（名称）: description_1（基因描述1）
dtype（数据类型）: string（字符串）
- name（名称）: new_id_1（新ID1）
dtype（数据类型）: string（字符串）
- name（名称）: gene_name_2（基因名2）
dtype（数据类型）: string（字符串）
- name（名称）: description_2（基因描述2）
dtype（数据类型）: string（字符串）
- name（名称）: new_id_2（新ID2）
dtype（数据类型）: string（字符串）
- name（名称）: score（共表达评分）
dtype（数据类型）: float64（64位浮点型）
splits（数据集划分）:
- name（名称）: train（训练集）
num_bytes（字节数）: 34365469
num_examples（样本数量）: 93245
download_size（下载大小）: 5029231
dataset_size（数据集总大小）: 34365469