Results 131 to 140 of about 379,537 (253)

Bayesian functional linear regression with sparse step functions

, 2016
The functional linear regression model is a common tool to determine the relationship between a scalar outcome and a functional predictor seen as a function of time. This paper focuses on the Bayesian estimation of the support of the coefficient function.
Abraham, Christophe, Baragatti, Meïli, Grollemund, Paul-Marie, Pudlo, Pierre   +3 more
core   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Decoding Genetic Markers of Multiple Phenotypic Layers Through Biologically Constrained Genome-To-Phenome Bayesian Sparse Regression. [PDF]

Front Mol Med, 2022
Deprez M, Moreira J, Sermesant M, Lorenzi M.   +3 more
europepmc   +1 more source

Two‐Photon Polymerized Microvascular Environments for Multicellular Modeling of the Blood–Brain Tumor Barrier

Advanced Materials Technologies, EarlyView.
Modeling the blood–brain tumor barrier is challenging due to complex interactions between brain microvasculature and glioma cells. We present two‐photon polymerized 3D micro‐porous capillary‐like structures that support endothelial alignment, cytoskeletal organization, and pericyte‐endothelial‐glioma tri‐cultures.
Nastaran Barin, Sayba Z. Chowdhury, Maurice de Wit, Rania Head, Kiki Bals, Erwin Brosens, Marvin M. van Luijn, Hayri E. Balcioglu, Angelo Accardo, Pim J. French   +9 more
wiley   +1 more source

Sample Feature Kernel Matrix-based Sparse Bilinear Regression [PDF]

Jisuanji kexue, 2021
SHAO Zheng-yi, CHEN Xiu-hong
doaj   +1 more source

Prior-Preconditioned Conjugate Gradient Method for Accelerated Gibbs Sampling in "Large n, Large p" Bayesian Sparse Regression. [PDF]

J Am Stat Assoc, 2023
Nishimura A, Suchard MA.
europepmc   +1 more source

Direct Gravity‐Induced Modulation of Cardiac Conduction Pathways Evidenced Through Propagation Features in Electrophysiological Mapping

Advanced Materials Technologies, EarlyView.
A high‐density wearable body‐surface potential mapping array reveals how gravity reshapes cardiac conduction in real time. By resolving spatiotemporal delay patterns invisible to conventional ECG, the platform uncovers posture‐dependent electrophysiological adaptations across the thorax.
Ruben Ruiz‐Mateos Serrano, Matias L. Picchio, Daniele Mantione, David Mecerreyes, George G. Malliaras   +4 more
wiley   +1 more source

Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects

Advanced Science, EarlyView.
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su, Jian Qin, Hui Shen, Ling‐Li Zeng, Baojuan Li, Jin Liu, Xuemei Song, Li Liu, Weidan Pu, Tongjian Bai, Huaning Wang, Hong Yin, Kai Wang, Lingjiang Li, Dewen Hu   +14 more
wiley   +1 more source

Approximate Sparse Linear Regression

, 2016
In the Sparse Linear Regression (SLR) problem, given a $d \times n$ matrix $M$ and a $d$-dimensional query $q$, the goal is to compute a $k$-sparse $n$-dimensional vector $ $ such that the error $||M -q||$ is minimized. This problem is equivalent to the following geometric problem: given a set $P$ of $n$ points and a query point $q$ in $d ...
Har-Peled, S, Indyk, P, Mahabadi, S
openaire   +4 more sources

Mitochondrial Calcium Uniporter Drives Chemoresistance in Pancreatic Cancer via Glutathione‐Mediated Stemness Maintenance

Advanced Science, EarlyView.
PDAC has a poor prognosis due to chemoresistance. We revealed that MCU upregulation is associated with chemoresistance and stemness in PDAC. MCU‐mediated Ca2+ influx induced ER stress, activating the PERK‐ATF4/NRF2 axis to enhance PSAT1/SLC711 expression and glutathione synthesis, reducing ROS and maintaining stemness.
Zekun Li, Chenyang Meng, Guangcong Shen, Yueying Shan, Junjin Wang, Diliyaer Abudukeremu, Rui Zhao, Bo Ni, Chao Xu, Xiaofan Guo, Jun Yu, Kaiyuan Wang, Shengyu Yang, YunZhan Li, Yongjie Xie, Tianxing Zhou, Jihui Hao, Xiuchao Wang   +17 more
wiley   +1 more source