Integrative subspace clustering by common and specific decomposition for applications on cancer subtype identification. [PDF]
BMC Med Genomics, 2019 Guo Y, Li H, Cai M, Li L.
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, 2015 We present a new subspace clustering method called SuMC (Subspace Memory Clustering), which allows to efficiently divide a dataset D c RN into k 2 N pairwise disjoint clusters of possibly different dimensions. Since our approach is based on the memory compression, we do not need to explicitly specify dimensions of groups: in fact we only need to ...
Struski, Łukasz +2 more
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Best Practices for Developing Linear Models With Multiple Explanatory Variables
Advanced Genetics, Volume 7, Issue 1, March 2026.ABSTRACT Linear models, including t‐test, ANOVA, regression, ANCOVA, and generalized linear models, are foundational tools in statistical analysis. For large datasets, such as those involving tens of thousands of genes and millions of records, numerous advanced methods have been developed to improve both computational efficiency and reliability.
Baidu Li, Xinhai Li
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Interband Consistency-Driven Structural Subspace Clustering for Unsupervised Hyperspectral Band Selection. [PDF]
Sensors (Basel)Wang Z, Wang W.
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Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data. [PDF]
Sensors (Basel), 2019 Hoppenstedt B +6 more
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Journal of Raman Spectroscopy, Volume 57, Issue 3, Page 503-512, March 2026.Endogenous constituents vary between fingernails of healthy, cardiovascular and diabetic participants. Raman spectroscopy yields a biochemical fingerprint of key endogenous constituents and disease‐related biomarkers. Combined with machine learning algorithms, Raman spectroscopy can classify healthy, cardiovascular and diabetic based on their Raman ...
Megan Wilson +7 more
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A Novel Low-Rank Embedded Latent Multi-View Subspace Clustering Approach. [PDF]
Sensors (Basel)Wang S, Chen L, Liang Z, Liu Q.
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Multi-view Subspace Clustering Analysis for Aggregating Multiple Heterogeneous Omics Data. [PDF]
Front Genet, 2019 Shi Q, Hu B, Zeng T, Zhang C.
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Photo‐Excitations in Halide Perovskites: Where Do Simulations and Experiments Meet?
Laser &Photonics Reviews, Volume 20, Issue 6, 18 March 2026.Aiming to bridge the gap between simulations and measurements of light–matter couplings and photo‐excitations in new functional materials, this perspective highlights insights and bottlenecks of state‐of‐the‐art experimental and theoretical methods (2D electronic spectroscopy vs.
Muhammad Sufyan Ramzan +5 more
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scPEDSSC: proximity enhanced deep sparse subspace clustering method for scRNA-seq data. [PDF]
PLoS Comput BiolWei X, Wu J, Li G, Liu J, Wu X, He C.
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