Baylor College of Medicine

‘Sticky coat’ boosts triple negative breast cancer’s ability to metastasize

Researchers at Baylor College of Medicine have uncovered a strategy that triple negative breast cancer (TNBC) cells use to ...
The Manila Times

Pyxis Oncology Announces Interim CEO Appointment and Leadership Transition to Support Strategic Focus and Program Continuity

Pyxis Oncology, Inc. (Nasdaq: PYXS), a clinical-stage company developing next-generation therapeutics for difficult-to-treat ...
IEEE

Non-Negative Matrix Factorization in Recommender Models: Concept, Survey, and Future Direction

Abstract: Recommender Systems have gained attraction since last two decades owing to its popularity of providing customers with the information of their choice, items they might purchase, movies they ...
Frontiers

Interleaving cortex-analog mixing improves deep non-negative matrix factorization networks

1 Institute for Theoretical Physics, University of Bremen, Bremen, Germany 2 Institute of Electrodynamics and Microelectronics (ITEM.ids), University of Bremen, Bremen, Germany Considering biological ...
Scientific Research Publishing

Shiga, M. and Muto, S. (2019) Non-Negative Matrix Factorization and Its Extensions for Spectral Image Data Analysis. e-Journal of Surface Science and Nanotechnology, 17, 148-154.

ABSTRACT: In this paper, an Optimal Predictive Modeling of Nonlinear Transformations “OPMNT” method has been developed while using Orthogonal Nonnegative Matrix Factorization “ONMF” with the ...
Scientific Research Publishing

Hu, L., Wu, N. and Li, X. (2022) Feature Nonlinear Transformation Non-Negative Matrix Factorization with Kullback-Leibler Divergence. Pattern Recognition, 132, Article 108906.

ABSTRACT: In this paper, an Optimal Predictive Modeling of Nonlinear Transformations “OPMNT” method has been developed while using Orthogonal Nonnegative Matrix Factorization “ONMF” with the ...
GitHub

non-negative-matrix-factorization

Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the ...
Targeted Oncology

Patient Factors Determine Treatment Selection for PD-L1 Negative NSCLC

During a live event, Neal E. Ready, MD, and participants discussed use of PD-L1 status in non–small cell lung cancer and compared the use of single agent vs doublet immunotherapy in the PD-L1–low ...
eLife

Integrated Analysis of Single-Cell and Bulk RNA-Seq Data reveals that Ferroptosis-Related Genes Mediated the Tumor Microenvironment predicts Prognosis, and guides Drug ...

This study presents a useful finding for the ferroptosis-mediated tumor microenvironment (TME) in triple-negative breast cancer (TNBC) using public single-cell RNA sequencing (scRNA-seq) and bulk RNA ...
GitHub

Proposal: Accelerate Non-Negative Matrix Factorization (NMF) needed for Dimensionality Reduction

Is your feature request related to a problem? Please describe. We wish to use cuML to accelerate our experiment on Identifying gene expression programs of cell-type identity and cellular activity.
Frontiers

Programmed cell death-related prognostic genes mediate dysregulation of the immune microenvironment in triple-negative breast cancer

Background: Programmed Cell death (PCD) encompasses a spectrum of genetically regulated cell death processes and plays a double-edged sword role in neoplastic progression and therapeutic resistance of ...