Results 91 to 100 of about 513,547 (285)

Data Reduction in Proportional Hazards Models Applied to Reliability Prediction of Centrifugal Pumps

Machines
This paper presents the use of proportional hazards regression models for predicting the Mean Time Between Failures (MTBF) of centrifugal pumps in the oil and gas industry.
Marc Vila Forteza, Diego Galar, Uday Kumar, Kai Goebel   +3 more
doaj   +1 more source

Generalized power method for sparse principal component analysis [PDF]

In this paper we develop a new approach to sparse principal component analysis (sparse PCA). We propose two single-unit and two block optimization formulations of the sparse PCA problem, aimed at extracting a single sparse dominant principal component of
Journée, Michel, Nesterov, Yurii, Richtarik, Peter, Sepulchre, Rodolphe   +3 more
core  

STWave: Fine‐Scale Spatial Structure Discovery in Microscopic‐Resolution Spatial Transcriptomics via Patchwise Wavelet Graphs

Advanced Science, EarlyView.
STWave transforms massive microscopic‐resolution spatial transcriptomics into interpretable fine‐scale tissue maps through patch‐wise inference, wavelet‐based multi‐scale encoding, and dual‐domain reconstruction. It reduces noise while preserving weak spatial signals, enabling efficient analysis of 6 40 000 spots of 2.47 GB GPU memory and revealing ...
Tao Jiang, Songming Zhang, Xiaofeng Chen, Xiongtao Xiao, Wenming Cao, Weikai Li, Tong Zhao, Bing Li, Xinyue Xu, Zhongshan Li   +9 more
wiley   +1 more source

Predicting Single‐Cell Perturbation Responses Across Biological Contexts With a Deep Generative Model Integrating Optimal Transport

Advanced Science, EarlyView.
Single‐cell perturbation responses are predicted across held‐out biological contexts using scPILOT, a query‐conditioned two‐stage latent response‐transfer framework. A shared latent representation supports cell‐level response estimation by latent optimal transport, followed by Leiden‐localized query‐specific transfer and adaptive weighting.
Jialiang Wang, Ziqi Liu, Zhengqian Zhang, Yikun Cao, Junjun Ren, Peng Cheng, Jingjing Tian, Lingyun Xie, Xin Lu, Zhanwei Du, Yongzhuang Liu   +10 more
wiley   +1 more source

Sparse PCA via matrix (2,1)-norm regularization with an application to feature selection

Results in Applied Mathematics
This paper is concerned with sparse PCA via the matrix (2,1)-norm regularization (PCA2,1). It can produce a row-sparse projection, a useful tool in machine learning when it comes to, for example, feature selection, that aims to choose most relevant ...
Li Wang, Jiawei Wang, Ren-Cang Li
doaj   +1 more source

Explicit Object Representation by Sparse Neural Codes [PDF]

, 2008
Neurons have been identified in the human medial temporal lobe (MTL) that display a strong selectivity for only a few stimuli (such as familiar individuals or landmark buildings) out of perhaps 100 presented to the test subject.
Waydo, Stephen J.
core   +1 more source

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

Advanced Science, EarlyView.
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia, Siyu Li, Songming Tang, Keju Gu, Shengquan Chen   +4 more
wiley   +1 more source

Optimal Projected Variance Group-Sparse Block PCA

, 2021
We address the problem of defining a group sparse formulation for Principal Components Analysis (PCA) - or its equivalent formulations as Low Rank approximation or Dictionary Learning problems - which achieves a compromise between maximizing the variance
Chavent, Guy, Chavent, Marie
core   +1 more source

Sequential Regulation of Neurovascular Bone Regeneration in Large Bone Defects Using Black Phosphorus‐Europium Nanosheet Integrated TPMS Biomimetic Scaffold with Photo‐Controlled Ion Release

Advanced Science, EarlyView.
TPBE scaffolds, in conjunction with mild photothermal effects, effectively activate the PI3K/Akt signaling cascade, thereby promoting early neuronal differentiation and neurite growth. Short‐term (12 W) in vivo implantation studies revealed no significant pathological damage to major organs, providing preliminary evidence of the material's excellent ...
Bingqian Wang, Yuping Zhang, Xiaoning Su, Ning Liu, Hui Zeng, Bo Yang, Yang Xue, Fang Guo, Changkui Liu   +8 more
wiley   +1 more source

Sparse PCA with False Discovery Rate Controlled Variable Selection

Sparse principal component analysis (PCA) aims at mapping large dimensional data to a linear subspace of lower dimension. By imposing loading vectors to be sparse, it performs the double duty of dimension reduction and variable selection.
Breloy, Arnaud, Muma, Michael, Palomar, Daniel P., Pascal, Frédéric, Palomar, Daniel, Machkour, Jasin   +5 more
core   +2 more sources