Predicting multiple types of miRNA–disease associations using adaptive weighted nonnegative tensor factorization with self-paced learning and hypergraph regularization

Association of Obesity and Diabetes With the Incidence of Breast Cancer in Louisiana

(2022) Fokhrul M. Hossain et al.   AMERICAN JOURNAL OF PREVENTIVE MEDICINE

Multi-view Multichannel Attention Graph Convolutional Network for miRNA–disease association prediction

(2021) Xinru Tang et al.   BRIEFINGS IN BIOINFORMATICS

SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization

(2021) Lei Li et al.   PLoS Computational Biology

SGNNMD: signed graph neural network for predicting deregulation types of miRNA-disease associations

(2021) Guangzhan Zhang et al.   BRIEFINGS IN BIOINFORMATICS

Positive-unlabeled learning in bioinformatics and computational biology: a brief review

(2021) Fuyi Li et al.   BRIEFINGS IN BIOINFORMATICS

MiRNA-Disease association prediction via non-negative matrix factorization based matrix completion

(2021) Xiao Zheng et al.   SIGNAL PROCESSING

Prediction of new associations between ncRNAs and diseases exploiting multi-type hierarchical clustering

(2020) Emanuele Pio Barracchia et al.   BMC BIOINFORMATICS

Tensor decomposition with relational constraints for predicting multiple types of microRNA-disease associations

(2020) Feng Huang et al.   BRIEFINGS IN BIOINFORMATICS

Multi-task learning for the simultaneous reconstruction of the human and mouse gene regulatory networks

(2020) Paolo Mignone et al.   Scientific Reports

Adaptive boosting-based computational model for predicting potential miRNA-disease associations

(2019) Yan Zhao et al.   BIOINFORMATICS

MISIM v2.0: a web server for inferring microRNA functional similarity based on microRNA-disease associations

(2019) Jianwei Li et al.   NUCLEIC ACIDS RESEARCH

Improved Prediction of Drug–Target Interactions Using Self-Paced Learning with Collaborative Matrix Factorization

(2019) Liang-Yong Xia et al.   Journal of Chemical Information and Modeling

A Fast Linear Neighborhood Similarity-Based Network Link Inference Method to Predict MicroRNA-Disease Associations

(2019) Wen Zhang et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

BNPMDA: Bipartite Network Projection for MiRNA–Disease Association prediction

(2018) Xing Chen et al.   BIOINFORMATICS

Cancer-cell-secreted exosomal miR-105 promotes tumour growth through the MYC-dependent metabolic reprogramming of stromal cells

(2018) Wei Yan et al.   NATURE CELL BIOLOGY

Deep learning improves prediction of drug–drug and drug–food interactions

(2018) Jae Yong Ryu et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A Semi-Supervised Learning Algorithm for Predicting Four Types MiRNA-Disease Associations by Mutual Information in a Heterogeneous Network

(2018) Xiaotian Zhang et al.   Genes

MicroRNA-106 attenuates hyperglycemia-induced vascular endothelial cell dysfunction by targeting HMGB1

(2018) Rui Liu et al.   GENE

HMDD v3.0: a database for experimentally supported human microRNA–disease associations

(2018) Zhou Huang et al.   NUCLEIC ACIDS RESEARCH

A theoretical understanding of self-paced learning

(2017) Deyu Meng et al.   INFORMATION SCIENCES

FOXO Signaling Pathways as Therapeutic Targets in Cancer

(2017) Mohd Farhan et al.   International Journal of Biological Sciences

circGFRA1 and GFRA1 act as ceRNAs in triple negative breast cancer by regulating miR-34a

(2017) Rongfang He et al.   JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH

A network-biology perspective of microRNA function and dysfunction in cancer

(2016) Cameron P. Bracken et al.   NATURE REVIEWS GENETICS

Integrative approaches for predicting microRNA function and prioritizing disease-related microRNA using biological interaction networks

(2015) Xiangxiang Zeng et al.   BRIEFINGS IN BIOINFORMATICS

RBMMMDA: predicting multiple types of disease-microRNA associations

(2015) Xing Chen et al.   Scientific Reports

A genetic variant in pre-miR-27a is associated with a reduced breast cancer risk in younger Chinese population

(2013) Ning Zhang et al.   GENE

Control of cell cycle transcription during G1 and S phases

(2013) Cosetta Bertoli et al.   NATURE REVIEWS MOLECULAR CELL BIOLOGY

HMDD v2.0: a database for experimentally supported human microRNA and disease associations

(2013) Yang Li et al.   NUCLEIC ACIDS RESEARCH

Upregulation of miRNA-155 promotes tumour angiogenesis by targeting VHL and is associated with poor prognosis and triple-negative breast cancer

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Tensor factorization using auxiliary information

(2012) Atsuhiro Narita et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Circulating Micro-RNAs as Potential Blood-Based Markers for Early Stage Breast Cancer Detection

(2012) Michael G. Schrauder et al.   PLoS One

Gaussian interaction profile kernels for predicting drug–target interaction

(2011) Twan van Laarhoven et al.   BIOINFORMATICS

Novel diagnostic value of circulating miR-18a in plasma of patients with pancreatic cancer

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Frequent concomitant inactivation of miR-34a and miR-34b/c by CpG methylation in colorectal, pancreatic, mammary, ovarian, urothelial, and renal cell carcinomas and soft tissue sarcomas

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Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases

(2010) Dong Wang et al.   BIOINFORMATICS

Cell-cycle-phase progression analysis identifies unique phenotypes of major prognostic and predictive significance in breast cancer

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Tensor Decompositions and Applications

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Nonnegative Matrix and Tensor Factorization [Lecture Notes]

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