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2024
The rise of nonnegative matrix factorization: Algorithms and applications
Information Systems
2024
Interpretable online network dictionary learning for inferring long-range chromatin interactions
PLOS Computational Biology
2024
Multiscale differential geometry learning of networks with applications to single-cell RNA sequencing data
Computers in Biology and Medicine
2024
Robust scRNA-seq Cell Types Identification by Self-Guided Deep Clustering Network
IEEE Access
2024
Interface-guided phenotyping of coding variants in the transcription factor RUNX1
Cell Reports
2023
ASGARD is A Single-cell Guided Pipeline to Aid Repurposing of Drugs
Nature Communications
2023
Learning Individual Survival Models from PanCancer Whole Transcriptome Data
Clinical Cancer Research
2023
Improved downstream functional analysis of single-cell RNA-sequence data using DGAN
Scientific Reports
2023
A new Bayesian factor analysis method improves detection of genes and biological processes affected by perturbations in single-cell CRISPR screening
Nature Methods
2023
scGEM: Unveiling the Nested Tree-Structured Gene Co-Expressing Modules in Single Cell Transcriptome Data
Cancers
2023
Inferring cellular and molecular processes in single-cell data with non-negative matrix factorization using Python, R and GenePattern Notebook implementations of CoGAPS
Nature Protocols
2022
Alignment and integration of spatial transcriptomics data
Nature Methods
2022
Similarity and Dissimilarity Regularized Nonnegative Matrix Factorization for Single-Cell RNA-seq Analysis
Interdisciplinary Sciences: Computational Life Sciences
2022
Network-based Structural Learning Nonnegative Matrix Factorization Algorithm for Clustering of scRNA-seq Data
IEEE/ACM Transactions on Computational Biology and Bioinformatics
2022
DSAE-Impute: Learning Discriminative Stacked Autoencoders for Imputing Single-cell RNA-seq Data
Current Bioinformatics
2022
Learning discriminative and structural samples for rare cell types with deep generative model
Briefings in Bioinformatics
2022
Visualization and Analysis of Single Cell RNA-Seq Data by Maximizing Correntropy Based Non-Negative Low Rank Representation
IEEE Journal of Biomedical and Health Informatics
2021
Gene Expression Analysis through Parallel Non-Negative Matrix Factorization
Computation
2021
The triumphs and limitations of computational methods for scRNA-seq
Nature Methods
2021
SC-JNMF: single-cell clustering integrating multiple quantification methods based on joint non-negative matrix factorization
PeerJ
2021
From bench to bedside: Single-cell analysis for cancer immunotherapy
Cancer Cell
2021
Adaptive total variation constraint hypergraph regularized NMF for single‐cell RNA‐seq data analysis
Quantitative Biology
2021
Single-Cell Transcriptomic Heterogeneity in Invasive Ductal and Lobular Breast Cancer Cells
Cancer Research
2021
Evaluation of Cell Type Annotation R Packages on Single-Cell RNA-Seq Data
Genomics, Proteomics & Bioinformatics
2021
scPNMF: sparse gene encoding of single cells to facilitate gene selection for targeted gene profiling
Bioinformatics
2020
Exploring generative deep learning for omics data using log-linear models
Bioinformatics
2020
Interpretable factor models of single-cell RNA-seq via variational autoencoders
Bioinformatics
2020
Joint learning dimension reduction and clustering of single-cell RNA-sequencing data
Bioinformatics
2020
Single-cell transcriptomics uncover distinct innate and adaptive cell subsets during tissue homeostasis and regeneration
Journal of Leukocyte Biology
2020
Non-invasive characterization of human bone marrow stimulation and reconstitution by cell-free messenger RNA sequencing
Nature Communications
2020
An Adaptive Sparse Subspace Clustering for Cell Type Identification
Frontiers in Genetics
2020
BEM: Mining Coregulation Patterns in Transcriptomics via Boolean Matrix Factorization
Bioinformatics
2020
CoGAPS 3: Bayesian non-negative matrix factorization for single-cell analysis with asynchronous updates and sparse data structures
BMC Bioinformatics
2019
Single-Cell RNA Sequencing Data Interpretation by Evolutionary Multiobjective Clustering
IEEE/ACM Transactions on Computational Biology and Bioinformatics
2019
Single-cell RNA-seq interpretations using evolutionary multiobjective ensemble pruning
Bioinformatics
2019
DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data
Genome Biology
2019
Elucidating Genome-Wide Protein-RNA Interactions Using Differential Evolution
IEEE/ACM Transactions on Computational Biology and Bioinformatics
2019
Unified single-cell analysis of testis gene regulation and pathology in five mouse strains
eLife
2019
Decomposing Cell Identity for Transfer Learning across Cellular Measurements, Platforms, Tissues, and Species
Cell Systems
2019
Single-Cell Omics
2019
De novo prediction of cell-type complexity in single-cell RNA-seq and tumor microenvironments
Life Science Alliance
2018
Metabotypes Related to Meat and Vegetable Intake Reflect Microbial, Lipid and Amino Acid Metabolism in Healthy People
Molecular Nutrition & Food Research
2018
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2018
Enter the Matrix: Factorization Uncovers Knowledge from Omics
Trends in Genetics
2018
The Human Cell Atlas: Technical approaches and challenges
Briefings in Functional Genomics
2018
Detection of correlated hidden factors from single cell transcriptomes using Iteratively Adjusted-SVA (IA-SVA)
Scientific Reports
2018
Integrated time course omics analysis distinguishes immediate therapeutic response from acquired resistance
Genome Medicine
2018
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
2018
Single-cell RNA sequencing for the study of development, physiology and disease
Nature Reviews Nephrology
2017
Single cell transcriptome analysis of muscle satellite cells reveals widespread transcriptional heterogeneity
Gene
2017
Using single‐cell multiple omics approaches to resolve tumor heterogeneity
Clinical and Translational Medicine
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