Results 191 to 200 of about 4,458,250 (263)

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

Integrating Line Transect Distance Sampling and Spatial Analysis to Assess Local Density and Habitat Use of <i>Capra aegagrus</i> in Batman Province, Türkiye. [PDF]

Life (Basel)
Yıldırım E, Ulutürk S.
europepmc   +1 more source

Atomistic Kinetics of Dislocation‐Mediated Grain Growth in Monolayer MoS2

Advanced Science, EarlyView.
Atomic‐resolution in‐situ heating microscopy directly visualizes dislocation‐mediated grain boundary migration and grain growth in monolayer MoS2. Mobile grain boundaries migrate through collective motion of Mo 5|7 dislocations, whereas S 5|7 defects remain largely immobile.
Chang‐Won Choi, Min‐Yeong Choi, Tao Du, Jinho Rhee, Seokho Moon, Yeon‐Seo Nam, Xiaoyan Lu, Jong Kyu Kim, Jungwon Park, Moon‐Ho Jo, Cheol‐Joo Kim, Si‐Young Choi   +11 more
wiley   +1 more source

Evidence of a Potential Nursery Area for the Great Hammerhead Shark, <i>Sphyrna mokarran</i>, in the Largest Coral Reef System of the Southwestern Atlantic. [PDF]

Ecol Evol
Santander-Neto J, Barreto R, Lírio GDS, Heithaus M, Gadig OBF, Hostim-Silva M.   +5 more
europepmc   +1 more source

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

Eye Movement Analysis: A Kernel Density Estimation Approach for Saccade Direction and Amplitude. [PDF]

J Eye Mov Res
Fehlinger P, Ertl B, Watzka B.
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

Optimized decomposition and deep learning with bias correction for reliable runoff point-interval prediction. [PDF]

Sci Rep
Ma H, Marsani MF, Mansor MA, Kasihmuddin MSM, Long C.   +4 more
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

Hybrid deep learning and optimized variational mode decomposition for point-interval runoff prediction. [PDF]

PLoS One
Ma H, Fadhil Marsani M, Mansor MA, Mohd Kasihmuddin MS.   +3 more
europepmc   +1 more source