Results 91 to 100 of about 25,940 (257)
CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang +11 more
wiley +1 more source
A face recognition method named WT-CSRC was proposed by using wavelet transform (WT) and a collaboration of double-dictionary's sparse representation-based classification (CSRC).
Fei GONG +4 more
doaj +2 more sources
Super-sparse principal component analyses for high-throughput genomic data
Background Principal component analysis (PCA) has gained popularity as a method for the analysis of high-dimensional genomic data. However, it is often difficult to interpret the results because the principal components are linear combinations of all ...
Lee Youngjo +3 more
doaj +1 more source
Decoupling biological signals from unwanted variation in multi‑condition single‑cell RNA sequencing data remains challenging. CAPER disentangles condition‑associated biological effects from sample heterogeneity through matrix factorization, producing interpretable latent factors and a batch‑corrected expression matrix.
Ye Li +6 more
wiley +1 more source
A Geometric Dictionary Learning Based Approach for Fluorescence Spectroscopy Image Fusion
In recent years, sparse representation approaches have been integrated into multi-focus image fusion methods. The fused images of sparse-representation-based image fusion methods show great performance.
Zhiqin Zhu +3 more
doaj +1 more source
The iPRF‐MA/Alg‐NHS/Lut@EGCG (PGAE) double‐network hydrogel achieves durable wet adhesion in the oral environment. It simultaneously reprograms neutrophils from NETosis to phagocytosis for biofilm clearance, and activates the FAK‐RhoA‐YAP mechanotransduction pathway in gingival fibroblasts to drive extracellular matrix remodeling, thereby promoting ...
Sicong Ren +9 more
wiley +1 more source
The KIF6‐RBP Complex Orchestrates mRNA Transport Required for Sperm Flagellar Assembly
Two homozygous deleterious KIF6 variants are identified in unrelated men with impaired sperm motility. Mouse models and multi‐omics analyses reveal that KIF6 cooperates with the RNA‐binding proteins FMRP and FXR1 to deliver mRNAs essential for sperm flagellar assembly, linking disrupted mRNA transport to reduced abundance of key structural and ...
Chunbo Xie +20 more
wiley +1 more source
Machine‐Learning Framework for Designing Stable Interfaces in All‐Solid‐State Lithium‐Ion Batteries
A data‐driven strategy is developed to discover coating materials for all‐solid‐state lithium batteries. Using calculations of interfacial reactivity, unsupervised pattern recognition, and machine‐learning prediction, the study identifies low‐reactivity compositional patterns and screens new lithium‐based oxide and polyanion candidates, extending ...
Sehyeok Park +4 more
wiley +1 more source
Quartic Quantum Speedups for Planted Inference
We describe a quantum algorithm for the Planted Noisy kXOR Problem (also known as Sparse Learning Parity with Noise) that achieves a nearly quartic (fourth-power) speedup over the best known classical algorithm while using exponentially less space.
Alexander Schmidhuber +3 more
doaj +1 more source
Ensemble Principal Component Analysis
Efficient representations of data are essential for processing, exploration, and human understanding, and Principal Component Analysis (PCA) is one of the most common dimensionality reduction techniques used for the analysis of large, multivariate ...
Olga Dorabiala +2 more
doaj +1 more source

