Results 151 to 160 of about 1,627,028 (236)

Single‐Cell Transcriptomic Identification of Drug‐Tolerant Persister Mechanisms in Capecitabine‐Treated Triple‐Negative Breast Cancer

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT Triple‐negative breast cancer (TNBC) is an aggressive subtype defined by the absence of estrogen receptor (ER), progesterone receptor (PR), and HER2 expression. This lack of receptors limits targeted therapies and contributes to high rates of recurrence.
Md Naiyem Islam, Md Kaziul Islam Sarkar Suja, Alif Al Takbir, Md. Kaderi Kibria   +3 more
wiley   +1 more source

Spatially Coherent Clustering Based on Orthogonal Nonnegative Matrix Factorization. [PDF]

J Imaging, 2021
Fernsel P.
europepmc   +1 more source

On the additive image of zeroth persistent homology

Transactions of the London Mathematical Society, Volume 13, Issue 1, December 2026.
Abstract For a category X$X$ and a finite field F$F$, we study the additive image of the functor H0(−;F)∗:rep(X,Top)→rep(X,VectF)$\operatorname{H}_0(-;F)_* \colon \operatorname{rep}(X, \mathbf {Top}) \rightarrow \operatorname{rep}(X, \mathbf {Vect}_F)$, or equivalently, of the free functor rep(X,Set)→rep(X,VectF)$\operatorname{rep}(X, \mathbf {Set ...
Ulrich Bauer, Magnus B. Botnan, Steffen Oppermann, Johan Steen   +3 more
wiley   +1 more source

Mitral Valve Segmentation Using Robust Nonnegative Matrix Factorization. [PDF]

J Imaging, 2021
Dröge H, Yuan B, Llerena R, Yen JT, Moeller M, Bertozzi AL.   +5 more
europepmc   +1 more source

Testing for Genetic Interactions in Complex Disease With Distance Correlation

Biometrical Journal, Volume 68, Issue 5, October 2026.
ABSTRACT Understanding epistasis (genetic interaction) may shed some light on the genomic basis of common diseases, including disorders of maximum interest due to their high socioeconomic burden, like schizophrenia. Distance correlation is an association measure that characterizes general statistical independence between random variables, not only the ...
Fernando Castro‐Prado, Javier Costas, Dominic Edelmann, Wenceslao González‐Manteiga, David R. Penas   +4 more
wiley   +1 more source

In-memory analog computing for non-negative matrix factorization

Nature Communications
Non-negative matrix factorization (NMF) is a powerful technique for extracting latent structures from high-dimensional data, with applications spanning recommender systems, bioinformatics, and image processing.
Shiqing Wang, Yubiao Luo, Pushen Zuo, Yongxiang Li, Lunshuai Pan, Daniele Ielmini, Zhong Sun   +6 more
doaj   +1 more source

Molecular classification of hormone-sensitive and castration-resistant prostate cancer, using nonnegative matrix factorization molecular subtyping of primary and metastatic specimens. [PDF]

Prostate, 2022
Yuen KC, Tran B, Anton A, Hamidi H, Costello AJ, Corcoran NM, Lawrentschuk N, Rainey N, Semira MCG, Gibbs P, Mariathasan S, Sandhu S, Kadel EE.   +12 more
europepmc   +1 more source

Secured Secret Sharing of QR Codes Based on Nonnegative Matrix Factorization and Regularized Super Resolution Convolutional Neural Network. [PDF]

Sensors (Basel), 2022
Velumani R, Sudalaimuthu H, Choudhary G, Bama S, Jose MV, Dragoni N.   +5 more
europepmc   +1 more source

UINMF performs mosaic integration of single-cell multi-omic datasets using nonnegative matrix factorization. [PDF]

Nat Commun, 2022
Kriebel AR, Welch JD.
europepmc   +1 more source

Low-rank matrix approximation with weights or missing data is NP-hard [PDF]

Weighted low-rank approximation (WLRA), a dimensionality reduction technique for data analysis, has been successfully used in several applications, such as in collaborative filtering to design recommender systems or in computer vision to recover ...
GILLIS, Nicolas, GLINEUR, François
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