Results 161 to 170 of about 49,338 (223)

An Entropy Regularization k-Means Algorithm with a New Measure of between-Cluster Distance in Subspace Clustering. [PDF]

Entropy (Basel), 2019
Xiong L, Wang C, Huang X, Zeng H.
europepmc   +1 more source

Single‐cell mitochondrial lineage tracing: Opportunities and challenges

Quantitative Biology, Volume 14, Issue 1, March 2026.
Abstract Lineage tracing using endogenous mitochondrial DNA (mtDNA) variants holds great promise for reconstructing the lineage histories of individual cells, with broad applications in oncology, developmental biology, and regenerative medicine.
Siqi Li, Kun Wang, Xin Wang, Zheng Hu
wiley   +1 more source

Accelerated Stochastic Variance Reduction Gradient Algorithms for Robust Subspace Clustering. [PDF]

Sensors (Basel)
Liu H, Yang L, Zhang L, Shang F, Liu Y, Wang L.   +5 more
europepmc   +1 more source

Generalized gene co-expression analysis via subspace clustering using low-rank representation. [PDF]

BMC Bioinformatics, 2019
Wang T, Zhang J, Huang K.
europepmc   +1 more source

Critical Review for One‐Class Classification: Recent Advances and Reality Behind Them

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
This review presents a new taxonomy to summarize one‐class classification (OCC) algorithms and their applications. The main argument is that OCC should not learn multiple classes. The paper highlights common violations of OCC involving multiple classes.
Toshitaka Hayashi, Dalibor Cimr, Hamido Fujita, Richard Cimler   +3 more
wiley   +1 more source

Unveiling patterns in spatial transcriptomics data: a novel approach utilizing graph attention autoencoder and multiscale deep subspace clustering network. [PDF]

Gigascience
Zhou L, Peng X, Chen M, He X, Tian G, Yang J, Peng L.   +6 more
europepmc   +1 more source

Regularized Multi-View Subspace Clustering for Common Modules Across Cancer Stages. [PDF]

Molecules, 2018
Zhang E, Ma X.
europepmc   +1 more source

Interpretable Machine Learning: A Comprehensive Review of Foundations, Methods, and the Path Forward

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
This systematic review of 352 studies establishes a comprehensive taxonomy for Interpretable Machine Learning, transitioning from foundational intrinsic models to advanced deep learning explanations. It reveals a critical paradigm shift toward “mechanistic interpretability” and actionable recourse, emphasizing that future AI systems must be rigorously ...
Shimon Fridkin, Michael Bendersky
wiley   +1 more source

Variational and Monte Carlo Methods for Bayesian Inversion of Dynamic Subsurface Flow Simulations Using Seismic and Fluid Pressure Data

Water Resources Research, Volume 62, Issue 3, March 2026.
Abstract In order to predict future performance of subsurface fluid reservoirs under possible operating scenarios, a dynamic, porous‐medium flow simulation model must be tuned to include representative properties of the reservoir. Estimating subsurface reservoir properties given remotely sensed or borehole‐based observations typically involves finding ...
Zhen Zhang, Xuebin Zhao, Andrew Curtis
wiley   +1 more source

Enrichment of Neural Crest Cells by Antibody Labeling and Flow Cytometry for Single‐Cell Transcriptomics in a Lizard

Evolution &Development, Volume 28, Issue 1, March 2026.
Using wall lizard embryos, we present an approach to isolate neural crest cells by antibody labeling and flow cytometry followed by single‐cell RNA sequencing. The approach does not require transgenic animals, and thus enables addressing evo‐devo questions across a range of vertebrate taxa.
Robin Pranter, Cedric Patthey, Nathalie Feiner   +2 more
wiley   +1 more source