Showing 121 - 140 results of 398 for search 'sequence variance', query time: 0.07s Refine Results
  1. 121

    Adaptable gene‐specific dye bias correction for two‐channel DNA microarrays by Thanasis Margaritis, Philip Lijnzaad, Dik van Leenen, Diane Bouwmeester, Patrick Kemmeren, Sander R van Hooff, Frank CP Holstege

    Published 2009-04-01
    “…A correction method (Gene‐ And Slide‐Specific Correction, GASSCO) is presented, whereby sequence‐specific corrections are modulated by the overall bias of individual hybridizations. …”
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  2. 122

    Experimental and numerical study of welding-induced deformation and residual stress in 6082 aluminum: Model validation and process design guidance by Hamidreza Rohani Raftar, Amir Khodabakhshi, Juho Havia, Antti Ahola, Tuomas Skriko

    Published 2025-07-01
    “…A parametric study, based on a Taguchi design of experiments and analysis of variance (ANOVA), quantified the influence of welding sequence, clamping, and interpass time. …”
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  3. 123

    LINEAR FILTERING OF OUTPUT DATA OF A SINGLE-POSITION SECURITY SYSTEM by B. A. Zaikin

    Published 2017-10-01
    “…A geometric construction of a single-position security system, its mathematical description and formulas of Markov sequence that describes the motion of an object under observation are given. …”
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  4. 124

    Measurement, source decomposition, and formation mechanism of differences in the development of China’s health services by Fulei Jin, Xigang Zhang, Yiming Zhao

    Published 2025-03-01
    “…A series of quantitative methods are applied in this study, including the two-stage entropy method, spatial kernel density estimation, Theil index, variance decomposition method, and quadratic assignment procedure (QAP). …”
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  5. 125

    A study of female tennis players: Speedcourt training is effective on improving agility and change-of-direction by Zhihui Zhou, Jiawei Wang, Hao Wang, Guo Ru, Fanhui Kong

    Published 2025-04-01
    “…Method Twenty-two female tennis players underwent SpeedCourt training for 6 weeks, respectively executed random sequence shuttle run training (RS group, N = 11, age: 22.36 ±  1.21 years) and fixed sequence shuttle run training (FS group, N = 11, age: 22.27 ± 1.27 years). …”
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  6. 126

    Research on Fast Compensation Algorithm for Interframe Motion of Multimedia Video Based on Manhattan Distance by Ning Li, Shuai Wan

    Published 2022-01-01
    “…According to the Gaussian noise variance estimation result, the active noise mixing forensics algorithm is used to preprocess the original video for noise mixing, and the fuzzy C-means clustering method is used to smoothly process the noisy multimedia video and obtain significant information from the multimedia video. …”
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  7. 127

    Research of unstructured data interpretation problems by V. S. Tomashevskaya, D. A. Yakovlev

    Published 2021-03-01
    “…Interpretation tasks include forecasting, classification, clustering, association, sequence search, data visualization, and variance analysis. …”
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  8. 128

    Dynamic optimization of intersatellite link assignment based on reinforcement learning by Weiwu Ren, Jialin Zhu, Hui Qi, Ligang Cong, Xiaoqiang Di

    Published 2022-02-01
    “…Different from the swarm intelligence method in principle, this algorithm models the combinatorial optimization problem of links as the optimal sequence decision problem of a series of link selection actions. …”
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  9. 129

    Time Variability Correction of CMIP6 Climate Change Projections by Y. Shao, C. H. Bishop, S. Hobeichi, N. Nishant, G. Abramowitz, S. Sherwood

    Published 2024-02-01
    “…TVC‐corrected temperatures generally show improved matching of temporal variance and lag correlations in the out‐of‐sample projection period compared to simple mean‐corrected projections. …”
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  10. 130

    Optimal Mix Design and Mechanical Properties of Rapid-Hardening Foam Concrete by Yuan Liu, Danni Zhao, Ruibo Yin, Qiang Li, Xiong Wu, Xianglong Zeng, Wei Qiao, Jiangbo Xu

    Published 2024-01-01
    “…Furthermore, based on the 1-day and 3-day compressive strength values, the study explores different mix proportion results using range analysis and variance analysis methods, thereby determining the optimal mix proportion that can satisfy the maximum 1-day and 3-day compressive strength values. …”
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  11. 131

    Clinical value of Beery visual-motor integration and Beery VMI supplemental tests in Chinese preschoolers: a modified replication cross-sectional study by Xin Tang, Xuan Xu, Cong Wang, Lijuan Ao

    Published 2025-03-01
    “…The Beery VMI, VP, and MC were administered in sequence by qualified raters.ResultsThe standard scores of VMI in all age groups of this study were significantly better than those in U.S. norms. …”
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  12. 132

    Single nucleotide polymorphism (SNP) discovery in polyploid plants by HE Dao-hua, XING Hong-yi, ZHAO Jun-xing, ZHAO Yan-ning, QI Cheng, WANG Yan-ting

    Published 2011-09-01
    “…In order to facilitate SNP discovery in polyploid plants, this paper reviewed the genomic complexity of polyploidy, the obstacle and the solutions of SNPs discovery in polyploid plants, including these methods of sequencing of polymerase chain reaction (PCR) amplicons from locus-specific primer, distinguishing SNPs from homoeologous sequence variants (HSVs) through living models of allopolyploid ancestral genomes, use of next-generation sequencing for SNP discovery, scanning along seeking potential SNPs by bioinformatics tool, Mendelian transmission test of candidate SNPs. …”
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  13. 133

    Stochastic Identification and Analysis of Long-Term Degradation Through Health Index Data by Hamid Shiri, Pawel Zimroz

    Published 2025-06-01
    “…This procedure includes separating random and deterministic parts and identifying possible autodependence hidden in the random sequence, as well as potential time-dependent variance. …”
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  14. 134

    A Monte Carlo Study of Dynamic Phase Transitions Observed in the Kinetic <i>S</i> = 1 Ising Model on Nonregular Lattices by Yusuf Yüksel

    Published 2025-05-01
    “…Mech. (2022) 033204], we explore the variation of the dynamic order parameter, dynamic scaling variance, and dynamic magnetic susceptibility as functions of the amplitude, bias, and period of the oscillating field sequence. …”
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  15. 135

    Recognition and Parameter Extraction of One-Dimensional Electronic Scanning for 3D Radar by Cheng Li, Wei Wang, Longfei Shi, Xuesong Wang

    Published 2014-01-01
    “…Then 1D ES is distinguished from MS and two-dimensional (2D) ES based on the features extracted from the difference sequences of beam sequence, such as resemblance coefficient (RC) and variance. …”
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  16. 136
  17. 137

    Automatic Grading for Complex Multifile Programs by Tiantian Wang, Djoko Budi Santoso, Kechao Wang, Xiaohong Su

    Published 2020-01-01
    “…Next, standardization process is performed for problematic code removal, unused function removal, and function sequence ordering based on function call. Finally, program matching successfully tackles structure variance problem by previous standardization process and by simple tree matching using tag classifier. …”
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  18. 138

    Genetic diversity of Schima superba populations revealed by ISSR analysis by JIN Ze-xin, LI Jun-min, LI Jian-hui

    Published 2007-05-01
    “…Analysis of molecular variance (AMOVA) demonstrated that the among-population component accounted for 34.37% of the total variation, while the within-population component accounted for 65.63%. …”
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  19. 139

    Multidimensional time series classification with multiple attention mechanism by Chen Liu, Zihan Wei, Lixin Zhou, Ying Shao

    Published 2024-11-01
    “…Within multidimensional time series data, features pertinent to classification exhibit variance in their positional distribution along the entirety of the sequence. …”
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  20. 140

    Real-World Parkinson&#x2019;s Hand Tremor Detection Using Ensemble Learning Techniques by Sungwook Hur, Jieming Zhang, Moon-Hyun Kim, Tai-Myoung Chung

    Published 2025-01-01
    “…Finally, unlike traditional approaches that use uniform feature weighting, our proposed variance adaptive AdaBoost (VA-AdaBoost) algorithm uniquely incorporates accelerometer signal variance to adaptively weight samples for feature training. …”
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