Matrix factorization for biomedical link prediction and scRNA-seq data imputation: an empirical survey
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Title
Matrix factorization for biomedical link prediction and scRNA-seq data imputation: an empirical survey
Authors
Keywords
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Journal
BRIEFINGS IN BIOINFORMATICS
Volume 23, Issue 1, Pages -
Publisher
Oxford University Press (OUP)
Online
2021-10-19
DOI
10.1093/bib/bbab479
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Note: Only part of the references are listed.- Graph contextualized attention network for predicting synthetic lethality in human cancers
- (2021) Yahui Long et al. BIOINFORMATICS
- KG4SL: knowledge graph neural network for synthetic lethality prediction in human cancers
- (2021) Shike Wang et al. BIOINFORMATICS
- Identifying driver genes for individual patients through inductive matrix completion
- (2021) Tong Zhang et al. BIOINFORMATICS
- CMF-Impute: An accurate imputation tool for single cell RNA-seq data
- (2020) Junlin Xu et al. BIOINFORMATICS
- scTSSR: gene expression recovery for single-cell RNA sequencing using two-side sparse self-representation
- (2020) Ke Jin et al. BIOINFORMATICS
- DRIMC: an improved drug repositioning approach using Bayesian inductive matrix completion
- (2020) Wenjuan Zhang et al. BIOINFORMATICS
- Biomedical data and computational models for drug repositioning: a comprehensive review
- (2020) Huimin Luo et al. BRIEFINGS IN BIOINFORMATICS
- Dual-Dropout Graph Convolutional Network for Predicting Synthetic Lethality in Human Cancers
- (2020) Ruichu Cai et al. BIOINFORMATICS
- A graph regularized generalized matrix factorization model for predicting links in biomedical bipartite networks
- (2020) Zi-Chao Zhang et al. BIOINFORMATICS
- Predicting Human Microbe-Drug Associations via Graph Convolutional Network with Conditional Random Field
- (2020) Yahui Long et al. BIOINFORMATICS
- Toward heterogeneous information fusion: bipartite graph convolutional networks for in silico drug repurposing
- (2020) Zichen Wang et al. BIOINFORMATICS
- Predicting human microbe–disease associations via graph attention networks with inductive matrix completion
- (2020) Yahui Long et al. BRIEFINGS IN BIOINFORMATICS
- MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations
- (2020) Tian-Ru Wu et al. BMC BIOINFORMATICS
- Matrix (factorization) reloaded: flexible methods for imputing genetic interactions with cross-species and side information
- (2020) Jason Fan et al. BIOINFORMATICS
- Combining sequence and network information to enhance protein–protein interaction prediction
- (2020) Leilei Liu et al. BMC BIOINFORMATICS
- Recent advances in network-based methods for disease gene prediction
- (2020) Sezin Kircali Ata et al. BRIEFINGS IN BIOINFORMATICS
- Single-cell RNA-seq denoising using a deep count autoencoder
- (2019) Gökcen Eraslan et al. Nature Communications
- McImpute: Matrix Completion Based Imputation for Single Cell RNA-seq Data
- (2019) Aanchal Mongia et al. Frontiers in Genetics
- To Embed or Not: Network Embedding as a Paradigm in Computational Biology
- (2019) Walter Nelson et al. Frontiers in Genetics
- Single-Cell RNA-Seq Technologies and Related Computational Data Analysis
- (2019) Geng Chen et al. Frontiers in Genetics
- Multifaceted protein–protein interaction prediction based on Siamese residual RCNN
- (2019) Muhao Chen et al. BIOINFORMATICS
- Learning common and specific patterns from data of multiple interrelated biological scenarios with matrix factorization
- (2019) Lihua Zhang et al. NUCLEIC ACIDS RESEARCH
- Modeling of Flocculation and Sedimentation Using Population Balance Equation
- (2019) Zhipeng Shi et al. Journal of Chemistry
- Predicting synthetic lethal interactions using heterogeneous data sources
- (2019) Herty Liany et al. BIOINFORMATICS
- Neural inductive matrix completion with graph convolutional networks for miRNA-disease association prediction
- (2019) Jin Li et al. BIOINFORMATICS
- Predicting synthetic lethal interactions in human cancers using graph regularized self-representative matrix factorization
- (2019) Jiang Huang et al. BMC BIOINFORMATICS
- NCMCMDA: miRNA–disease association prediction through neighborhood constraint matrix completion
- (2019) Xing Chen et al. BRIEFINGS IN BIOINFORMATICS
- SL2MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization
- (2019) Yong Liu et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Prediction of lncRNA–disease associations based on inductive matrix completion
- (2018) Chengqian Lu et al. BIOINFORMATICS
- DrImpute: imputing dropout events in single cell RNA sequencing data
- (2018) Wuming Gong et al. BMC BIOINFORMATICS
- Computational prediction of drug–target interactions using chemogenomic approaches: an empirical survey
- (2018) Ali Ezzat et al. BRIEFINGS IN BIOINFORMATICS
- Drug knowledge bases and their applications in biomedical informatics research
- (2018) Yongjun Zhu et al. BRIEFINGS IN BIOINFORMATICS
- SAVER: gene expression recovery for single-cell RNA sequencing
- (2018) Mo Huang et al. NATURE METHODS
- TCM visualizes trajectories and cell populations from single cell data
- (2018) Wuming Gong et al. Nature Communications
- Manifold regularized matrix factorization for drug-drug interaction prediction
- (2018) Wen Zhang et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning
- (2017) Ying Sun et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization
- (2017) Ali Ezzat et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- The Human Cell Atlas: from vision to reality
- (2017) Orit Rozenblatt-Rosen et al. NATURE
- SC3: consensus clustering of single-cell RNA-seq data
- (2017) Vladimir Yu Kiselev et al. NATURE METHODS
- Synthetic lethality and cancer
- (2017) Nigel J. O'Neil et al. NATURE REVIEWS GENETICS
- Accounting for technical noise in differential expression analysis of single-cell RNA sequencing data
- (2017) Cheng Jia et al. NUCLEIC ACIDS RESEARCH
- Nonnegative matrix factorization algorithms for link prediction in temporal networks using graph communicability
- (2017) Xiaoke Ma et al. PATTERN RECOGNITION
- A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information
- (2017) Yunan Luo et al. Nature Communications
- PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction
- (2017) Zhu-Hong You et al. PLoS Computational Biology
- Robust classification of single-cell transcriptome data by nonnegative matrix factorization
- (2016) Chunxuan Shao et al. BIOINFORMATICS
- Protein complex detection based on partially shared multi-view clustering
- (2016) Le Ou-Yang et al. BMC BIOINFORMATICS
- Single-Cell RNA-Seq Reveals Lineage and X Chromosome Dynamics in Human Preimplantation Embryos
- (2016) Sophie Petropoulos et al. CELL
- Mapping the Pairwise Choices Leading from Pluripotency to Human Bone, Heart, and Other Mesoderm Cell Types
- (2016) Kyle M. Loh et al. CELL
- Computational methods for trajectory inference from single-cell transcriptomics
- (2016) Robrecht Cannoodt et al. EUROPEAN JOURNAL OF IMMUNOLOGY
- TSCAN: Pseudo-time reconstruction and evaluation in single-cell RNA-seq analysis
- (2016) Zhicheng Ji et al. NUCLEIC ACIDS RESEARCH
- Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction
- (2016) Yong Liu et al. PLoS Computational Biology
- The Transcriptome and DNA Methylome Landscapes of Human Primordial Germ Cells
- (2015) Fan Guo et al. CELL
- Single-cell messenger RNA sequencing reveals rare intestinal cell types
- (2015) Dominic Grün et al. NATURE
- Spatial reconstruction of single-cell gene expression data
- (2015) Rahul Satija et al. NATURE BIOTECHNOLOGY
- SynLethDB: synthetic lethality database toward discovery of selective and sensitive anticancer drug targets
- (2015) Jing Guo et al. NUCLEIC ACIDS RESEARCH
- Inductive matrix completion for predicting gene-disease associations
- (2014) N. Natarajan et al. BIOINFORMATICS
- Detecting temporal protein complexes from dynamic protein-protein interaction networks
- (2014) Le Ou-Yang et al. BMC BIOINFORMATICS
- Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq
- (2014) Barbara Treutlein et al. NATURE
- Low-coverage single-cell mRNA sequencing reveals cellular heterogeneity and activated signaling pathways in developing cerebral cortex
- (2014) Alex A Pollen et al. NATURE BIOTECHNOLOGY
- The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
- (2014) Cole Trapnell et al. NATURE BIOTECHNOLOGY
- Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing
- (2014) Dmitry Usoskin et al. NATURE NEUROSCIENCE
- Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells
- (2014) Q. Deng et al. SCIENCE
- Massively Parallel Single-Cell RNA-Seq for Marker-Free Decomposition of Tissues into Cell Types
- (2014) D. A. Jaitin et al. SCIENCE
- Predicting Drug–Target Interactions Using Probabilistic Matrix Factorization
- (2013) Murat Can Cobanoglu et al. Journal of Chemical Information and Modeling
- Predicting Protein–Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization
- (2013) Hua Wang et al. JOURNAL OF COMPUTATIONAL BIOLOGY
- HMDD v2.0: a database for experimentally supported human microRNA and disease associations
- (2013) Yang Li et al. NUCLEIC ACIDS RESEARCH
- Protein Complex Detection via Weighted Ensemble Clustering Based on Bayesian Nonnegative Matrix Factorization
- (2013) Le Ou-Yang et al. PLoS One
- Predicting drug-target interactions from chemical and genomic kernels using Bayesian matrix factorization
- (2012) M. Gonen BIOINFORMATICS
- Drug–target interaction prediction by learning from local information and neighbors
- (2012) Jian-Ping Mei et al. BIOINFORMATICS
- Single-cell genomics
- (2011) Tomer Kalisky et al. NATURE METHODS
- Synthetic lethality: General principles, utility and detection using genetic screens in human cells
- (2010) Sebastian M.B. Nijman FEBS LETTERS
- Matrix Completion With Noise
- (2010) Emmanuel J Candes et al. PROCEEDINGS OF THE IEEE
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
- (2009) M. D. Robinson et al. BIOINFORMATICS
- Semantic web for integrated network analysis in biomedicine
- (2009) H. Chen et al. BRIEFINGS IN BIOINFORMATICS
- Prediction of drug-target interaction networks from the integration of chemical and genomic spaces
- (2008) Y. Yamanishi et al. BIOINFORMATICS
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