Results 131 to 140 of about 720,784 (299)

CaMKIIδ Phosphorylates AUP1 to Promote Pancreatic Tissue Repair and Acinar‐to‐Ductal Metaplasia Formation via Mediating PERK‐Dependent Unfolded Protein Responses

open access: yesAdvanced Science, EarlyView.
CaMKIIδ–AUP1 signaling maintains PERK‐dependent ER homeostasis during ADM‐mediated pancreatic repair. ABSTRACT Pancreatic repair after acute pancreatitis (AP) is essential for restoring tissue integrity, but the intrinsic mechanisms coordinating acinar plasticity and regeneration remain poorly understood.
Yonghao Chen   +10 more
wiley   +1 more source

Fitting Graphs: A Visual Framework for Transparent and Robust Machine Learning Model Selection

open access: yesApplied Artificial Intelligence
Model developers often rely on cross-validation (CV) to estimate model performance, yet CV – even when repeated multiple times – can produce highly variable results that are difficult to interpret.
Robbie T. Nakatsu
doaj   +1 more source

Adaptive Graph Regularization Discriminant Nonnegative Matrix Factorization for Data Representation

open access: yesIEEE Access, 2019
Nonnegative matrix factorization, as a classical part-based representation method, has been widely used in pattern recognition, data mining and other fields.
Lin Zhang   +3 more
doaj   +1 more source

Classification of graphs by regularity

open access: yesJournal of Combinatorial Theory, Series B, 1981
AbstractWe give a classification of graphs by two parameters s and t such that a graph is regular iff t ≥ 2, edge-regular iff t ≥ 3, and distance regular of diameter δ iff s = δ, t ≥ 2δ − 2. We investigate the algebra of polynomials in the adjacency matrix and relate to every graph a family of orthogonal polynomials. This generalizes various results on
openaire   +3 more sources

Incorporating Multisource Knowledge To Predict Drug Synergy Based on Graph Co-regularization

open access: yes, 2019
Drug combinations may reduce toxicity and increase therapeutic efficacy, offering a promising strategy to conquer multiple complex diseases. However, due to large-scale combinatorial space, it remains challenging to identify effective combinations ...
Jiawei Luo (763133)   +5 more
core   +1 more source

Constrained regularization methods for ozone profile retrieval from UV/VIS nadir spectrometers [PDF]

open access: yes, 2009
In this paper we present several constrained regularization methods for ozone profile retrieval from UV/VIS nadir sounding instruments such as GOME, SCIAMACHY, OMI and GOME-2.
Doicu, Adrian   +5 more
core   +1 more source

XChrom: A Cross‐Cell Chromatin Accessibility Prediction Model Integrating Genomic Sequence and Cellular Context

open access: yesAdvanced Science, EarlyView.
XChrom is a deep learning framework that integrates genomic sequence and single‐cell context to predict chromatin accessibility. It generalizes to unseen cells and genomic regions, enabling cross‐sample and cross‐species analysis. Applied to COVID‐19 patient data, XChrom reveals key transcriptional regulatory mechanisms and disease‐associated ...
Yuanyuan Miao   +5 more
wiley   +1 more source

Efficient Graph Similarity Computation with Alignment Regularization [PDF]

open access: yes
We consider the graph similarity computation (GSC) task based on graph edit distance (GED) estimation. State-of-the-art methods treat GSC as a learning-based prediction task using Graph Neural Networks (GNNs). To capture fine-grained interactions between
Tan, Guang, Zhuo, Wei
core   +1 more source

Regular subgraphs of almost regular graphs

open access: yesJournal of Combinatorial Theory, Series B, 1984
AbstractSuppose every vertex of a graph G has degree k or k + 1 and at least one vertex has degree k + 1. It is shown that if k ≥ 2q − 2 and q is a prime power then G contains a q-regular subgraph (and hence an r-regular subgraph for all r < q, r ≡ q (mod 2)). It is also proved that every simple graph with maximal degree Δ ≥ 2q − 2 and average degree d
Noga Alon, Shmuel Friedland, Gil Kalai
openaire   +1 more source

spa: Semi-Supervised Semi-Parametric Graph-Based Estimation in R [PDF]

open access: yes
In this paper, we present an R package that combines feature-based (X) data and graph-based (G) data for prediction of the response Y . In this particular case, Y is observed for a subset of the observations (labeled) and missing for the remainder ...
Mark Culp
core  

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