additional data

df.parquet.gzip is processed raw data. This has some genes but is not fully overwrapped with training/test data drug2actions.csv is processd data that has information about drugs' effectiveness. drug2gene_from_db.csv is a drug-target(gene) interaction from 5 databases. drug2target_from_drugbank.csv is a drug-target(gene) interaction from drugbank. gene2go.csv is a gene-gene ontology relation data. Gene ontology is a hierarchal network that shows gene functions such as "Biological functions (GO:000528)". This has gene name, ontology, role, and explanation. gene2go_train.csv is filtered data that is included in training data. gene2go_onehot.csv is a dummy table, indexes are genes and columns are gene ontology. If they have a relations return True. merged_drug_gene_actions.csv is a whole dataset that contains drug2action, and drug2target from drug bank. drug2gene.csv is a drug-target(gene) combination. Known drug-gene interaction is defined. The combination is already standardized. smiles2fingerprint.csv SMILES (chemical vector structure) is converted to one hot vector derived from chemical taxonomy. For instance, if the chemical structure has "CH3" the vector has one for "CH3" columns. This is generated by RDKit`df.parquet.gzip` 为经过处理的原始数据，包含若干基因，但未与训练/测试数据集完全覆盖。 `drug2actions.csv` 为已处理数据，收录药物有效性相关信息。 `drug2gene_from_db.csv` 为源自5个数据库的药物-靶点（基因）交互数据集。 `drug2target_from_drugbank.csv` 为源自DrugBank的药物-靶点（基因）交互数据集。 `gene2go.csv` 为基因-基因本体（Gene Ontology）关联数据集。基因本体（Gene Ontology）是用于展示基因功能的层级化网络，例如包含“生物功能（GO:000528）”这类条目，该数据集包含基因名称、本体条目、作用角色及注释说明。 `gene2go_train.csv` 为经筛选的训练子集，仅包含纳入训练数据的条目。 `gene2go_onehot.csv` 为独热编码（one-hot）虚拟表，行索引为基因，列索引为基因本体条目，若二者存在关联则取值为True。 `merged_drug_gene_actions.csv` 为完整整合数据集，整合了`drug2actions`与DrugBank来源的药物-靶点数据。 `drug2gene.csv` 为药物-靶点（基因）组合数据集，其中明确定义了已知的药物-基因交互关系，且该组合已完成标准化处理。 `smiles2fingerprint.csv` 为将SMILES（化学向量结构）转换为源自化学分类学的独热向量的数据集。例如，若化学结构包含“CH3”基团，则对应“CH3”列的取值为1。该数据集由RDKit生成。