UINMF performs mosaic integration of single-cell multi-omic datasets using nonnegative matrix factorization. [PDF]
Kriebel AR, Welch JD.
europepmc +1 more source
Nonnegative matrix factorization clustering for time series cancer progression data
Abedalrhman Alkhateeb +2 more
openalex +1 more source
Local equivalence and refinements of Rasmussen's s‐invariant
Abstract Inspired by the notions of local equivalence in monopole and Heegaard Floer homology, we introduce a version of local equivalence that combines odd Khovanov homology with equivariant even Khovanov homology into an algebraic package called a local even–odd (LEO) triple.
Nathan M. Dunfield +2 more
wiley +1 more source
A Novel Peak‐Shape Aware Approach for Mass Alignment in Mass Spectrometry
ABSTRACT Rationale In mass spectrometry measurements, mass shifts may be inadvertently introduced due to instrumental drift and calibration inaccuracies, potentially compromising the accuracy of subsequent data analysis. This work presents a novel, label‐free algorithm to improve relative mass alignment between mass spectra.
Thomas Vanhemel +5 more
wiley +1 more source
Nonnegative matrix factorization-based bioinformatics analysis reveals that TPX2 and SELENBP1 are two predictors of the inner sub-consensuses of lung adenocarcinoma. [PDF]
Wang H, Wang X, Xu L, Cao H, Zhang J.
europepmc +1 more source
Identifying Causal Genotype–Phenotype Relationships for Population‐Sampled Parent–Child Trios
ABSTRACT The process by which genes are transmitted from parent to child provides a source of randomization preceding all other factors that may causally influence any particular child phenotype. Because of this, it is natural to consider genetic transmission as a source of experimental randomization.
Yushi Tang +2 more
wiley +1 more source
Mixed penalization in convolutive nonnegative matrix factorization for blind speech dereverberation [PDF]
Francisco Ibarrola +2 more
openalex +1 more source
Radiogenomics: Current Understandings and Future Perspectives
Radiogenomics links imaging phenotypes with genetic variations, offering potential for comprehensive understanding, cost‐effective diagnosis, and prognosis prediction to advance personalized medicine. However, its clinical application remains limited by several challenges.
Xinyu Zhang +8 more
wiley +1 more source

