教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学历:博士研究生毕业
学位:博士
在职信息:在职
所在单位:数学与统计学院
入职时间:1998-10-01
访问量:
最后更新时间:..
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[1]
于娜.
A Tensor Method Based on Enhanced Tensor Nuclear Norm and Hypergraph Laplacian Regularization for Pan-Cancer Omics Data Analysis.
IEEE Journal of Biomedical and Health Informatics,
27,
1225,
2023.
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[2]
徐达.
Novel Collaborative Weighted Non-negative Matrix Factorization Improves Prediction of Disease-Associated Human Microbes.
FRONTIERS IN MICROBIOLOGY,
13,
2022.
-
[3]
武传艳.
PRWHMDA: Human Microbe-Disease Association Prediction by Random Walk on the Heterogeneous Network with PSO.
INTERNATIONAL JOURNAL OF BIOLOGICAL SCIENCES,
14,
849,
2018.
-
[4]
武传艳.
A novel model for protein sequence similarity analysis based on spectral radius.
Journal of Theoretical Biology,
446,
61,
2018.
-
[5]
徐达.
LncRNA-Protein Interaction Prediction Based on Regularized Nonnegative Matrix Factorization and Sequence Information.
MATCH Communications in Mathematical and in Computer Chemistry,
85,
-
[6]
徐含笑.
Protein-Protein Interactions Prediction Based on Spectral Radius and General Regression Neural Network.
J. Proteome Res.,
20,
2020.
-
[7]
MDAKRLS: Predicting human microbedisease association based on Kronecker regularized least squares and similarities.
Journal of Translational Medicine,
19,
2021.
-
[8]
徐达.
Protein-Protein Interactions Prediction Based on Graph Energy and Protein Sequence Information.
MOLECULES,
25,
2020.
-
[9]
徐达.
Multi-scale supervised clustering-based feature selection for tumor classification and identification of biomarkers and targets on genomic data.
BMC GENOMICS,
21,
2020.
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[10]
王麟.
QIMCMDA: MiRNA-Disease Association Prediction by q-Kernel Information and Matrix Completion.
FRONTIERS IN GENETICS,
11,
2020.
-
[11]
徐达.
MDAKRLS: Predicting human microbe-disease association based on Kronecker regularized least squares and similarities.
JOURNAL OF TRANSLATIONAL MEDICINE,
19,
2021.
-
[12]
徐含笑.
Protein-Protein Interaction Prediction Based on Spectral Radius and General Regression Neural Network.
Journal of Proteome Research,
20,
1657,
2021.
-
[13]
高瑞.
PTPD: Predicting Therapeutic Peptides by Deep Learning and Word2vec.
BMC Bioinformatics,
20,
2019.
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[14]
高瑞.
PTPD: Predicting Therapeutic Peptides by Deep Learning and Word2vec.
BMC Bioinformatics,
20,
456,
2019.
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[15]
高瑞.
mHMDA: Human Microbe-Disease Association Prediction by Matrix Completion and Multi-Source Information.
IEEE Access(二区),
7,
106687,
2019.
-
[16]
高瑞.
mHMDA: Human Microbe-Disease Association Prediction by Matrix Completion and Multi-Source Information.
IEEE Access(二区),
7,
106687,
2019.
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