Results 221 to 230 of about 725,384 (331)
Utilizing dual‐site fiber photometry, this study examines cortico‐striatal coupling with cell type resolution, identifying behavior‐ and cell type‐specific cortico striatal decoupling and its dopamine‐dependent mechanism in a Parkinson's disease mouse model.
Xu‐Ran Yao +4 more
wiley +1 more source
Learning the One-Electron Reduced Density Matrix at SCF Convergence Thresholds. [PDF]
Rana B +5 more
europepmc +1 more source
ITGB1 Regulates Triple‐Negative Breast Cancer Development by Modulating the Tumor Microenvironment
ABSTRACT Tumorigenesis and metastasis are frequently attributed to the intricate interplay between cancer cells and the tumor microenvironment (TME). Comprehending the mechanisms and key regulators of cancer‐immune crosstalk in the TME is imperative for developing efficacious immunotherapy.
Nuozi Song +12 more
wiley +1 more source
Breast Cancer Data Analysis Using Supervised Machine Learning Algorithms. [PDF]
Kutal DH, Koseoglu BN.
europepmc +1 more source
Predicting linear B‐cell epitopes using string kernels
Yasser EL‐Manzalawy +2 more
openalex +1 more source
This study reveals that photothermal therapy, while inducing immunogenic cell death in triple‐negative breast cancer, paradoxically activates the oncogenic mTOR pathway to drive immune evasion. To counter this, a smart nanocomposite is engineered to co‐deliver localized hyperthermia and mTOR inhibition.
Yujie Zhao +13 more
wiley +1 more source
The impact of the exponential Kernel's bandwidth parameter on learning algorithms. [PDF]
Almahdawi MA.
europepmc +1 more source
Multiple Locally Linear Kernel Machines
In this paper we propose a new non-linear classifier based on a combination of locally linear classifiers. A well known optimization formulation is given as we cast the problem in a $\ell_1$ Multiple Kernel Learning (MKL) problem using many locally linear kernels.
openaire +1 more source

