Results 151 to 160 of about 137,667 (314)

Model parameter estimation with imprecise information

Water Science and Technology
Model parameter estimation is a well-known inverse problem, as long as single-value point data are available as observations of system performance measurement.
Wolfgang Rauch, Nikolaus Rauch, Manfred Kleidorfer   +2 more
doaj   +1 more source

On predictive inference for intractable models via approximate Bayesian computation. [PDF]

Stat Comput, 2023
Järvenpää M, Corander J.
europepmc   +1 more source

SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics

Advanced Science, EarlyView.
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao, Gaiqin Liu, Jingyi Xia, Runle Chen, Tong Wang, Xiaoling Yang, Ruiling Fang, Yanhong Luo, Ping Zeng, Hongmei Yu, Yanbo Zhang, Yuehua Cui   +11 more
wiley   +1 more source

Uncertainty quantification in mechanistic epidemic models via cross-entropy approximate Bayesian computation [PDF]

Nonlinear Dyn, 2023
Cunha A, Barton DAW, Ritto TG.
europepmc   +2 more sources

Approximate Computational Approaches for Bayesian Sensor Placement in High Dimensions [PDF]

, 2017
Xiao Lin, Asif Chowdhury, Xiaofan Wang, Gabriel Terejanu   +3 more
openalex   +1 more source

Natural Variation of NAR5 Determines Nitrogenase Activity and the Yield in Soybean

Advanced Science, EarlyView.
This study identified NAR5, a gene encoding a subtilisin‐like protease, that regulates nitrogenase activity in soybean nodules. Overexpressing NAR5 delayed nodule senescence, enhancing nitrogenase activity, yield, and low‐nitrogen tolerance. The elite haplotype NAR5HapI‐1 linked to superior nitrogenase activity and greater seed weight has been ...
Chao Ma, Hanyu Zhao, Haojie Feng, Xulun Dong, Lin Chen, Mingliang Yang, Runyi Chen, Chengjun Lei, Chunyan Liu, Qingshan Chen, Dawei Xin, Jinhui Wang   +11 more
wiley   +1 more source

Investigating speciation in face of polyploidization: what can we learn from approximate Bayesian computation approach? [PDF]

, 2014
Camille Roux, John R. Pannell
openalex   +1 more source

Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)

Advanced Science, EarlyView.
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang, Jiahao Ding, Si Chen, Lijie Yan, Shichao Ding, Lavonda Li, Junyi Sun, Haodong Liu, Tongge Li, Ning Liu, Mingji Wei, Xiaoyong Zhu, Xiaobo Zou, Shouqi Yuan, Xingcai Zhang   +14 more
wiley   +1 more source

An Approximate Bayesian Computation Approach for Modeling Genome Rearrangements. [PDF]

Mol Biol Evol, 2022
Moshe A, Wygoda E, Ecker N, Loewenthal G, Avram O, Israeli O, Hazkani-Covo E, Pe'er I, Pupko T.   +8 more
europepmc   +1 more source

Comparative Oligo‐FISH Mapping Illuminates Chromosomal Evolution Among Rutaceae Species Diverged Over 50 Million Years

Advanced Science, EarlyView.
Oligonucleotide‐based fluorescence in situ hybridization probes were developed in the model citrus species Citrus maxima. These probes were applied to comparative karyotyping across 14 species in the Rutaceae family. This analysis revealed chromosomal evolution in lineages that diverged from Citrus nearly 52 million years ago.
Li He, Hainan Zhao, Xiaoxue Zeng, Zujun Yang, Wenting Li, Guoyan Zhang, Guangrong Li, Jian He, Bin Guan, Jiming Jiang   +9 more
wiley   +1 more source