Zappia L, Richter S, Ramirez-Suastegui C, Kfuri-Rubens R, Vornholz L, Wang W
Nat Methods. 2025; .
PMID: 40082610
DOI: 10.1038/s41592-025-02624-3.
Johri S, Bi K, Titchen B, Fu J, Conway J, Crowdis J
Nat Commun. 2025; 16(1):2090.
PMID: 40025015
PMC: 11873288.
DOI: 10.1038/s41467-025-57377-6.
Zhang T, Zhao Z, Ren J, Zhang Z, Zhang H, Wang G
Brief Bioinform. 2025; 26(1).
PMID: 39987461
PMC: 11846686.
DOI: 10.1093/bib/bbaf071.
Pouyabahar D, Andrews T, Bader G
Nat Commun. 2025; 16(1):1878.
PMID: 39987196
PMC: 11846867.
DOI: 10.1038/s41467-025-57157-2.
Dong S, Cui Z, Liu D, Lei J
Interdiscip Sci. 2025; .
PMID: 39982678
DOI: 10.1007/s12539-025-00688-5.
Causal differential expression analysis under unmeasured confounders with causarray.
Du J, Shen M, Mathys H, Roeder K
bioRxiv. 2025; .
PMID: 39975097
PMC: 11838442.
DOI: 10.1101/2025.01.30.635593.
A Benchmarking Study of Random Projections and Principal Components for Dimensionality Reduction Strategies in Single Cell Analysis.
Abdelnaby M, Moussa M
bioRxiv. 2025; .
PMID: 39974925
PMC: 11838541.
DOI: 10.1101/2025.02.04.636499.
PbImpute: Precise Zero Discrimination and Balanced Imputation in Single-Cell RNA Sequencing Data.
Zhang Y, Wang Y, Liu X, Feng X
J Chem Inf Model. 2025; 65(5):2670-2684.
PMID: 39957720
PMC: 11898086.
DOI: 10.1021/acs.jcim.4c02125.
Interpretable AI for inference of causal molecular relationships from omics data.
Dibaeinia P, Ojha A, Sinha S
Sci Adv. 2025; 11(7):eadk0837.
PMID: 39951525
PMC: 11827637.
DOI: 10.1126/sciadv.adk0837.
scCobra allows contrastive cell embedding learning with domain adaptation for single cell data integration and harmonization.
Zhao B, Song K, Wei D, Xiong Y, Ding J
Commun Biol. 2025; 8(1):233.
PMID: 39948393
PMC: 11825689.
DOI: 10.1038/s42003-025-07692-x.
Semisynthetic simulation for microbiome data analysis.
Sankaran K, Kodikara S, Li J, Le Cao K
Brief Bioinform. 2025; 26(1).
PMID: 39927858
PMC: 11808806.
DOI: 10.1093/bib/bbaf051.
Accurate identification of single-cell types via correntropy-based Sparse PCA combining hypergraph and fusion similarity.
Wang J, Wang T, Yuan S, Li F
J Appl Stat. 2025; 52(2):356-380.
PMID: 39926175
PMC: 11800351.
DOI: 10.1080/02664763.2024.2369955.
Improving doublet cell removal efficiency through multiple algorithm runs.
She Y, Wang C, Zhao Q
Comput Struct Biotechnol J. 2025; 27:451-460.
PMID: 39911841
PMC: 11794957.
DOI: 10.1016/j.csbj.2025.01.009.
A model-based factorization method for scRNA data unveils bifurcating transcriptional modules underlying cell fate determination.
Ren J, Zhou Y, Hu Y, Yang J, Fang H, Lyu X
Elife. 2025; 13.
PMID: 39907554
PMC: 11798574.
DOI: 10.7554/eLife.97424.
Deep learning powered single-cell clustering framework with enhanced accuracy and stability.
Zhang Y, Feng X, Wang Y, Shi K
Sci Rep. 2025; 15(1):4107.
PMID: 39900656
PMC: 11791198.
DOI: 10.1038/s41598-025-87672-7.
Diffusive topology preserving manifold distances for single-cell data analysis.
Wei J, Zhang B, Wang Q, Zhou T, Tian T, Chen L
Proc Natl Acad Sci U S A. 2025; 122(4):e2404860121.
PMID: 39854240
PMC: 11789025.
DOI: 10.1073/pnas.2404860121.
CCI: A Consensus Clustering-Based Imputation Method for Addressing Dropout Events in scRNA-Seq Data.
Juan W, Ahn K, Chen Y, Lin C
Bioengineering (Basel). 2025; 12(1).
PMID: 39851305
PMC: 11763284.
DOI: 10.3390/bioengineering12010031.
Single-cell RNA-seq data augmentation using generative Fourier transformer.
Nouri N
Commun Biol. 2025; 8(1):113.
PMID: 39843603
PMC: 11754799.
DOI: 10.1038/s42003-025-07552-8.
Explainable deep neural networks for predicting sample phenotypes from single-cell transcriptomics.
Martorell-Marugan J, Lopez-Dominguez R, Villatoro-Garcia J, Toro-Dominguez D, Chierici M, Jurman G
Brief Bioinform. 2025; 26(1.
PMID: 39814561
PMC: 11735047.
DOI: 10.1093/bib/bbae673.
CSI-GEP: A GPU-based unsupervised machine learning approach for recovering gene expression programs in atlas-scale single-cell RNA-seq data.
Liu X, Chapple R, Bennett D, Wright W, Sanjali A, Culp E
Cell Genom. 2025; 5(1):100739.
PMID: 39788105
PMC: 11770216.
DOI: 10.1016/j.xgen.2024.100739.