面向致癌基因识别的多组学数据矩阵分解算法研究

61902215
2019
F0213.生物信息计算与数字健康
代凌云
青年科学基金项目
副教授
曲阜师范大学
27万元
生物信息学;矩阵分解;多组学数据整合分析;致癌基因;基因组学
2020-01-01到2022-12-31
  • 中英文摘要
  • 结题摘要
  • 结题报告
  • 项目成果
  • 项目参与人
查看更多信息请先登录或注册
查看更多信息请先登录或注册
查看更多信息请先登录或注册
重置
序号 标题 类型 作者
1 IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier 期刊论文 Rong Zhu;Yong Wang;Jin-Xing Liu;Ling-Yun Dai
2 Diagnostic Classification of Lung Cancer Using Deep Transfer Learning Technology and Multi-Omics Data 期刊论文 Rong Zhu;Ling-yun Dai;Jin-xing Liu;Ying Guo
3 Multi‑view manifold regularized compact low‑rank representation for cancer samples clustering on multi‑omics data 期刊论文 Juan Wang;Cong-Hai Lu;Xiang-Zhen Kong;Ling-Yun Dai;Shasha Yuan
4 Dual Graph regularized PCA based on Different Norm Constraints for Bi-clustering Analysis on Single-cell RNA-seq Data 会议论文 Yu Song;Xiang-Zhen Kong;Jin-Xing Liu;Juan Wang;Sha-Sha Yuan;Ling-Yun Dai
5 Joint Nonnegative Matrix Factorization Based on Sparse and Graph Laplacian Regularization for Clustering and Co-Differential Expression Genes Analysis 期刊论文 Ling-Yun Dai;Rong Zhu;Juan Wang
6 NESM: a network embedding method for tumor stratification by integrating multi-omics data 期刊论文 Feng Li;Zhensheng Sun;Jin-Xing Liu;Junliang Shang;Ling-Yun Dai;Xikui Liu;Yan Li
7 Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints 期刊论文 Juan Wang;Cong-Hai Lu;Jin-Xing Liu;Ling-Yun Dai;Xiang-Zhen Kong
8 Epileptic Seizure Detection Based on Variational Mode Decomposition and Deep Forest Using EEG Signals 期刊论文 Xiang Liu;Juan Wang;Junliang Shang;Jin-Xing Liu;Ling-Yun Dai;Shasha Yuan
9 Automatic detection for epileptic seizure using graph-regularized nonnegative matrix factorization and Bayesian linear discriminate analysis 期刊论文 Jianwei Mu;Ling-yun Dai;Jin-Xing Liu;Junliang Shang;Fangzhou Xu;Xiang Liu;Shasha Yuan
10 Non-negative low-rank representation based on dictionary learning for single-cell RNA-sequencing data analysis 期刊论文 Juan Wang;Nana Zhang;Shasha Yuan;Junliang Shang;Lingyun Dai;Feng Li;Jinxing Liu
11 KSMDB: A classification method in imbalanced COVID dataset based on KmeansSMOTE and DeBERT 会议论文 Rong Zhu;Hua-Hui Gao;Jun-Liang Shang;Ling-Yun Dai
12 Automatic epileptic seizure detection using graph-regularized non-negative matrix factorization and kernel-based robust probabilistic collaborative representation 期刊论文 Shasha Yuan;Jianwei Mu;Weidong Zhou;Ling-Yun Dai;Jin-Xing Liu;Juan Wang;Xiang Liu
13 基于联合约束非负矩阵分解的差异表达基因辨识方法 专利 代凌云;刘金星;郑春厚
14 一种基于多相似性融合的疾病关联信息预测方法 专利 代凌云;朱荣;刘金星
15 Automatic Seizure Prediction based on Modified Stockwell Transform and Tensor Decomposition 会议论文 Shasha Yuan;Jinxing Liu;Junliang Shang;Fangzhou Xu;Lingyun Dai;Xiangzhen Kong
16 ARGLRR: An Adjusted Random Walk Graph Regularization Sparse Low-Rank Representation Method for Single-Cell RNA-Sequencing Data Clustering 会议论文 Zhen-Chang Wang;Jin-Xing Liu;Jun-Liang Shang;Ling-Yun Dai;Chun-Hou Zheng;Juan Wang
17 肿瘤测序数据的计算建模方法 奖励 刘金星;郑春厚;尚军亮;齐连永;代凌云
18 The Automatic Detection of Seizure Based on Tensor Distance And Bayesian Linear Discriminant Analysis 期刊论文 Delu Ma;Shasha Yuan;Junliang Shang;Jinxing Liu;Lingyun Dai;Xiangzhen Kong;Fangzhou Xu
19 Logistic Weighted Profile-Based Bi-Random Walk for Exploring MiRNA-Disease Associations 期刊论文 Ling-yun Dai;Jin-xing Liu;Rong Zhu;Juan Wang;Shasha Yuan
20 MSF-UBRW: An Improved Unbalanced Bi-Random Walk Method to Infer Human lncRNA-Disease Associations 期刊论文 Ling-yun Dai;Rong Zhu;Jin-Xing Liu;Feng Li;Juan Wang;Junliang Shang
21 Joint Lp-Norm and L-2,L-1-Norm Constrained Graph Laplacian PCA for Robust Tumor Sample Clustering and Gene Network Module Discovery 期刊论文 Xiang-Zhen Kong;Yu Song;Jin-Xing Liu;Chun-Hou Zheng;Shasha Yuan;Juan Wang;Ling-Yun Dai
22 Effects of Multi-Omics Characteristics on Identification of Driver Genes Using Machine Learning Algorithm 期刊论文 Feng Li;Xin Chu;Ling-Yun Dai;Juan Wang;Jin-Xing Liu;Junliang Shang
查看更多信息请先登录或注册

相关项目

趋势报告

经验分享