Additional file 1 of A systematic analysis of deep learning in genomics and histopathology for precision oncology
收藏DataCite Commons2024-08-14 更新2024-08-19 收录
下载链接:
https://springernature.figshare.com/articles/dataset/Additional_file_1_of_A_systematic_analysis_of_deep_learning_in_genomics_and_histopathology_for_precision_oncology/26677325/1
下载链接
链接失效反馈官方服务:
资源简介:
Additional file 1. Supplementary Table 1. Histopathology Papers. For all papers title, authors, year, journal and PubMed-URL, category, subcategory and cancer tissue are listed. Supplementary Table 2. Genomic Papers. For all papers title, authors, year, journal and PubMed-URL, category, subcategory and cancer tissue are listed. Supplementary Table 3. Multimodal Papers. For all papers title, authors, year, journal and PubMed-URL, category, subcategory and cancer tissue are listed. Supplementary Table 4. All Publications. For all papers title, authors, year, PubMed-URL and decision are listed. Supplementary Table 5. Timewise Publication Counts. Raw Counts of publications grouped by year and tissue type needed to generate Figure 2. Supplementary Material. Data selection of this study. Publications were collected from PubMed in nine search queries obtaining 3048 results. All papers were then uploaded to Rayyan to manually filter and classify them down to a total number of 534 articles used for this study.
补充材料1。补充表1:组织病理学相关论文。收录所有论文的标题、作者、发表年份、期刊、PubMed网址(PubMed-URL)、类别、子类别及癌组织信息。补充表2:基因组学相关论文。收录所有论文的标题、作者、发表年份、期刊、PubMed网址(PubMed-URL)、类别、子类别及癌组织信息。补充表3:多模态相关论文。收录所有论文的标题、作者、发表年份、期刊、PubMed网址(PubMed-URL)、类别、子类别及癌组织信息。补充表4:全部已发表文献。收录所有论文的标题、作者、发表年份、PubMed网址(PubMed-URL)及评审决策信息。补充表5:按时间统计的发表文献数量。包含用于生成图2的、按发表年份与组织类型分组的原始文献计数数据。补充材料:本研究的数据筛选说明。研究团队通过9条检索策略在PubMed数据库中检索文献,共获得3048条检索结果;随后将所有论文上传至Rayyan平台进行人工筛选与分类,最终得到本研究所用的534篇文献。
提供机构:
figshare
创建时间:
2024-08-14



