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Identification of transcription factor co-binding patterns with non-negative matrix factorization.

• Authors : Rauluseviciute I; Centre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo, 0318 Oslo, Norway.; Launay T

Subjects: Transcription Factors*/Transcription Factors*/Transcription Factors*/metabolism ; Protein Binding* ; DNA*/DNA*/DNA*/metabolism

• Source: Nucleic acids research [Nucleic Acids Res] 2024 Oct 14; Vol. 52 (18), pp. e85.Publisher: Oxford University Press Country of Publication: England NLM ID: 0411011 Publication Model: Print Cited Medium:

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BANMF-S: a blockwise accelerated non-negative matrix factorization framework with structural network constraints for single cell imputation.

• Authors : Zhao J; Department of Mathematics, The University of Hong Kong, Pokfulam Road, Hong Kong.; Ching WK

Subjects: Single-Cell Analysis*/Single-Cell Analysis*/Single-Cell Analysis*/methods ; Algorithms*; Humans

• Source: Briefings in bioinformatics [Brief Bioinform] 2024 Jul 25; Vol. 25 (5).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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scMNMF: a novel method for single-cell multi-omics clustering based on matrix factorization.

• Authors : Qiu Y; School of Mathematical Sciences, Shenzhen University, 518000, Guangdong, China.; Guo D

Subjects: Single-Cell Analysis*/Single-Cell Analysis*/Single-Cell Analysis*/methods ; Algorithms*; Cluster Analysis

• Source: Briefings in bioinformatics [Brief Bioinform] 2024 Mar 27; Vol. 25 (3).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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bioNMF: a web-based tool for nonnegative matrix factorization in biology

• Authors : Mejia Roa, E.; Carmona Saez, P.; Nogales, R.

Subjects: 004; Gene-expression data; Tensor factorization

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GMFGRN: a matrix factorization and graph neural network approach for gene regulatory network inference.

• Authors : Li S; School of Computer Science and Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei, Nanjing, 210094, China.; Liu Y

Subjects: Gene Regulatory Networks* ; Benchmarking*; Area Under Curve

• Source: Briefings in bioinformatics [Brief Bioinform] 2024 Jan 22; Vol. 25 (2).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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Predicting metabolite-disease associations based on auto-encoder and non-negative matrix factorization.

• Authors : Gao H; School of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan, 114051, China.; Sun J

Subjects: Algorithms* ; Neural Networks, Computer*; Humans

• Source: Briefings in bioinformatics [Brief Bioinform] 2023 Sep 20; Vol. 24 (5).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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UNMF: a unified nonnegative matrix factorization for multi-dimensional omics data.

• Authors : Abe K; Division of Systems Biology, Nagoya University Graduate School of Medicine, Showa-ku, 466-8550, Nagoya, Japan.; Shimamura T

Subjects: Algorithms* ; Multiomics*; Principal Component Analysis

• Source: Briefings in bioinformatics [Brief Bioinform] 2023 Sep 20; Vol. 24 (5).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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Multi-project and Multi-profile joint Non-negative Matrix Factorization for cancer omic datasets

• Authors : Barcelona Supercomputing Center; Salazar, Diego A.; Przulj, Natasa

Subjects: Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica; Cancer; Datasets

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SSNMDI: a novel joint learning model of semi-supervised non-negative matrix factorization and data imputation for clustering of single-cell RNA-seq data.

• Authors : Qiu Y; College of Mathematics and Statistics, Shenzhen University, 518000, Guangdong, China.; Yan C

Subjects: Gene Expression Profiling* ; Single-Cell Gene Expression Analysis*; Sequence Analysis, RNA/Sequence Analysis, RNA/Sequence Analysis, RNA/methods

• Source: Briefings in bioinformatics [Brief Bioinform] 2023 May 19; Vol. 24 (3).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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SMURF: embedding single-cell RNA-seq data with matrix factorization preserving self-consistency.

• Authors : Pu J; State Key Laboratory of Software Development Environment, Beihang University, Beijing, China.; Beihang Hangzhou Innovation Institute Yuhang, Xixi Octagon City, Yuhang District, Hangzhou 310023, China.

Subjects: Single-Cell Gene Expression Analysis* ; Software*; Sequence Analysis, RNA/Sequence Analysis, RNA/Sequence Analysis, RNA/methods

• Source: Briefings in bioinformatics [Brief Bioinform] 2023 Mar 19; Vol. 24 (2).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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