登录后查看消息通知
搜索
常见问题
消息
登录
首页
/
数据集
/
Comparisons between SCMFMDA and other MF-based models.
Comparisons between SCMFMDA and other MF-based models.
收藏
Figshare
2021-07-12 更新
2026-04-28 收录
非编码RNA-疾病关联预测
生物信息学比较
数据链接:
https://figshare.com/articles/dataset/Comparisons_between_SCMFMDA_and_other_MF-based_models_/14962630
数据链接
链接失效反馈
官方服务:
问题咨询
购买咨询
在线客服
NEW
资源简介:
Comparisons between SCMFMDA and other MF-based models.
应用场景:
创建时间:
2021-07-12
相关数据集
Additional file 5 of SVDNVLDA: predicting lncRNA-disease associations by Singular Value Decomposition and node2vec
非编码RNA-疾病关联预测
癌生物标记物
Additional file 5. The complete case study results of breast cancer.
Figshare
2024-02-12 更新
8
0
The number of predicted miRNA targets, which include the functional one being examined, in different databases.
miRNA靶标预测
生物信息学比较
The number of predicted miRNA targets, which include the functional one being examined, in different databases.
NIAID Data Ecosystem
5
0
The number of missing bases and amino acids of three groups.
缺失数据分析
生物信息学比较
The number of missing bases and amino acids of three groups.
Figshare
2018-11-01 更新
3
0
Table_1_IDLDA: An Improved Diffusion Model for Predicting LncRNA–Disease Associations.xls
非编码RNA-疾病关联预测
It has been demonstrated that long non-coding RNAs (lncRNAs) play important roles in a variety of biological processes associated with human diseases. However, the identification of lncRNA–disease ass
NIAID Data Ecosystem
6
0
Additional file 6 of SVDNVLDA: predicting lncRNA-disease associations by Singular Value Decomposition and node2vec
非编码RNA-疾病关联预测
肺癌生物信息学
Additional file 6. The complete case study results of lung cancer.
NIAID Data Ecosystem
4
0
© 2023-2026 上海数据发展科技有限责任公司 版权所有
沪ICP备17003045号-15
沪公网安备31010402336585号
热门搜索
社区交流群
科研交流群
商业服务
数据资源
寻源服务
数据采集
标注服务
数据产品
代理销售
数据领域
凭证登记
数据产品
介绍推广