Results 201 to 210 of about 63,696 (324)

Power of a reproducing kernel-based method for testing the joint effect of a set of single-nucleotide polymorphisms. [PDF]

Genetica, 2012
He H, Zhang H, Maity A, Zou Y, Hussey J, Karmaus W.   +5 more
europepmc   +1 more source

Subspace regression in reproducing kernel hilbert space

, 2003
L. Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor   +3 more
openalex   +1 more source

A Forward Genetics Strategy for High‐Throughput Gene Identification via Precise Image‐Based Phenotyping of an Indexed EMS Mutant Library

Advanced Science, EarlyView.
The GeneHunter‐Gene‐Level Association (GH‐GLA) pipeline enables high‐throughput gene identification in an indexed EMS population of wheat cultivar KN9204. It identifies 5905 trait‐associated wheat genes and validates key regulators of kernel weight and spikelet architecture via gene editing and haplotype analysis.
Haojie Wang, Fujun Sun, Zeyu Shi, Yufeng Yang, Yi Ding, Tengteng Zhang, Caihong Zhao, Jingzhong Xie, Yaqian Zhang, Caihua Li, Wenqiang Tang, Junming Li, Xigang Liu, Shusong Zheng, Ni Jiang, Fei He, Shuzhi Zheng   +16 more
wiley   +1 more source

A reproducing kernel space model for 𝐍_{𝜅}-functions

, 2003
Vladimir Derkach, Seppo Hassi
openalex   +1 more source

The High‐Altitude Adaptation Characteristics of Microbiota‐Host Cross‐Talk in Yak Gastrointestinal Track

Advanced Science, EarlyView.
In this study, a single‐cell atlas of 117,019 yak gastrointestinal cells across 54 subtypes identified HNF4A and SREBF2 as key transcription factors targeting MYO6 gene. Cross‐species and multi‐omics analyses reveals epithelial cells as key regulators that, through interactions with microbes, particularly Bacillus, facilitate flexible energy supply and
Chun Huang, Minghao Zhang, Qingbo Zheng, Qinran Yu, Guowu Yang, Wenwen Ren, Xiaoming Ma, Yongfu La, Pengjia Bao, Min Chu, Xian Guo, Chunnian Liang, Ping Yan   +12 more
wiley   +1 more source

Kernel Principal Component Regression in Reproducing Kernel Hilbert Space

, 2003
Chooleewan Dachapak, Shunshoku Kanae, Zi-Jiang Yang, Kiyoshi Wada   +3 more
openalex   +2 more sources

Reproducing kernels for harmonic Besov spaces on the ball [PDF]

, 2009
Seçil Gergün, H. Turgay Kaptanoğlu, A. Ersin Üreyen   +2 more
openalex   +1 more source

Reproducing Kernels

, 2013
This report is concerned with the theory of reproducing kernels. First, a background of elementary facts about Hilbert spaces is given. The most important theorems are the projection and Riesz theorems. Some examples are provided to show how the theory of Hilbert spaces can be applied to mathematical problems.
openaire   +1 more source

Uncertainty‐Quantified Primary Particle Size Prediction in Li‐Rich NCM Materials via Machine Learning and Chemistry‐Aware Imputation

Advanced Science, EarlyView.
This study demonstrates a machine learning framework that predicts the primary particle size of Lithium‐rich Nickel‐Cobalt‐Manganese (Li‐rich NCM) materials from synthesis conditions, even with incomplete literature data. By combining chemistry‐aware imputation with uncertainty‐quantified modeling, it identifies sintering temperature and time as ...
Benediktus Madika, Chaeyul Kang, JooSung Shim, Taemin Park, Jung Hyeon Moon, EunAe Cho, Seungbum Hong   +6 more
wiley   +1 more source

Positive definite matrices and differentiable reproducing kernel inequalities

, 2005
Jorge Buescu, A. C. Paixão
openalex   +1 more source