Results 201 to 210 of about 2,156,600 (296)

Geometric and quantum kernel methods for predicting skeletal muscle outcomes in experimental chronic obstructive pulmonary disease. [PDF]

Sci Rep
Alavi A, Khalili H, Chan SMH, Kouchmeshki F, Usman M, Vlahos R.   +5 more
europepmc   +1 more source

Mirror Descent on Reproducing Kernel Banach Spaces

Recent advances in machine learning have led to increased interest in reproducing kernel Banach spaces (RKBS) as a more general framework that extends beyond reproducing kernel Hilbert spaces (RKHS).
Kumar, Akash, Pandit, Parthe, Belkin, Mikhail   +2 more
core  

Optimized Cas9‐Enriched Nanopore Sequencing and Analysis Workflow for Clinical Diagnosis of Repeat Expansion Disorders

Advanced Science, EarlyView.
An optimized Cas9‐enriched nanopore sequencing workflow, combined with STRiker, enables simultaneous analysis of disease‐associated STR loci from patient blood. The nCATS–STRiker workflow detects repeat expansions, de novo repeat motifs, interruption patterns, and methylation in a single assay, improving the genetic diagnosis of previously undiagnosed ...
Seungbok Lee, Chanju Jung, Minjeong Kim, Narae Kim, Gue‐Ho Hwang, Soon‐Tae Lee, Kon Chu, Sang Kun Lee, Han‐Joon Kim, Jong‐Hee Chae, Sangsu Bae, Jangsup Moon   +11 more
wiley   +1 more source

Competing risk model with a nonparametric form of relative risks. [PDF]

Lifetime Data Anal
Cho Y, Du P.
europepmc   +1 more source

Oligosaccharides With Defined Glycosidic Bonds Shape Gut Microbial Succession and Metabolism Via Bond‐Specific Microbial Responders

Advanced Science, EarlyView.
Oligosaccharides with defined glycosidic bonds drive divergent gut microbial succession and shape unique metabolic profiles. Absolute time‐series profiling with Bayesian generalized Lotka–Volterra modeling identifies bond‐specific microbial responders, while monoculture validation and metaproteomics reveal linkage‐matched transport and cleavage modules.
Xiaoxuan Lu, Jiaqi Zou, Geng Han, Mengyao Zhao, Ting Luo, Xiangru Feng, Liangliang Zhu, Yijia Chen, Xiaoguo Ji, Jiayang Jin, Liming Zhao   +10 more
wiley   +1 more source

The impact of the exponential Kernel's bandwidth parameter on learning algorithms. [PDF]

Sci Rep
Almahdawi MA.
europepmc   +1 more source

DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction

Advanced Science, EarlyView.
Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li, Yiman Liu, Liya Liang, Rongming Liu   +3 more
wiley   +1 more source

Multimodality, interaction modeling, and multimodule architectures in genomic prediction: A unified conceptual framework. [PDF]

Plant Genome
Crossa J, Sun J, Montesinos-López A, Pérez-Rodríguez P, Vitale P, Pérez-Elizalde S, Howard R, Montesinos López OA.   +7 more
europepmc   +1 more source

MXene‐Based Room‐Temperature NO2 Gas Sensors: A Meta‐Analysis

Advanced Science, EarlyView.
This study presents the first comprehensive meta‐analysis of MXene‐based NO2 sensors, decoding 32 study characteristics across 61 peer‐reviewed studies. By isolating materials chemistry as the primary performance driver over device‐level parameters, the authors establish a methodological blueprint and a predictive structure–function map to accelerate ...
Alexander Khort, Jerome Geyer‐Klingeberg, Andreas Rathgeber, Suelen Barg   +3 more
wiley   +1 more source

Generalized linear multiple kernel learning for high-dimensional image data. [PDF]

Stat Probab Lett
Shi Q, Kang J, Li Y.
europepmc   +1 more source