Results 11 to 20 of about 451,636 (157)
Multiple sequence alignment with the Clustal series of programs [PDF]
Nucleic Acids Research, 2003 The Clustal series of programs are widely used in molecular biology for the multiple alignment of both nucleic acid and protein sequences and for preparing phylogenetic trees. The popularity of the programs depends on a number of factors, including not only the accuracy of the results, but also the robustness, portability and user-friendliness of the ...
Ramu Chenna +2 more
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Summarizing a set of time series by averaging: From Steiner sequence to compact multiple alignment
Theoretical Computer Science, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
François Petitjean, Pierre Gancarski
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Modeling time series by aggregating multiple fuzzy cognitive maps [PDF]
PeerJ Computer Science, 2021 Background The real time series is affected by various combinations of influences, consequently, it has a variety of variation modality. It is hard to reflect the variation characteristic of the time series accurately when simulating time series only by ...
Tianming Yu, Qunfeng Gan, Guoliang Feng
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Next-generation sequencing facilitates differentiating between multiple primary lung cancer and intrapulmonary metastasis: a case series [PDF]
Diagnostic Pathology, 2021 Abstract Background In lung cancer management, differential diagnosis between multiple primary lung cancer (MPLC) and intrapulmonary metastasis (IMP) is a critical point that is of direct therapeutic and clinical importance. However, this process often suffers from absence of a gold standard, resulting in equivocal cases.
Changjiang Liu +5 more
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Frontiers in Immunology, 2022 The SpTransformer (SpTrf) gene family encodes a set of proteins that function in the sea urchin immune system. The gene sequences have a series of internal repeats in a mosaic pattern that is characteristic of this family.
Megan A. Barela Hudgell +1 more
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Frontiers in Energy Research, 2023 Due to the strong coupling characteristics and daily correlation characteristics of multiple load sequences, the prediction method based on time series extrapolation and combined with multiple load meteorological data has limited accuracy improvement ...
Mao Yang +4 more
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Multi-Objective Prediction of Integrated Energy System Using Generative Tractive Network
Mathematics, 2023 Accurate load forecasting can bring economic benefits and scheduling optimization. The complexity and uncertainty arising from the coupling of different energy sources in integrated energy systems pose challenges for simultaneously predicting multiple ...
Zhiyuan Zhang, Zhanshan Wang
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Empirical adaptive wavelet decomposition (EAWD): an adaptive decomposition for the variability analysis of observation time series in atmospheric science [PDF]
Nonlinear Processes in Geophysics, 2022 Most observational data sequences in geophysics can be interpreted as resulting from the interaction of several physical processes at several timescales and space scales. In consequence, measurement time series often have characteristics of non-linearity
O. Delage +6 more
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Mixture Hidden Markov Models for Sequence Data: The seqHMM Package in R
Journal of Statistical Software, 2019 Sequence analysis is being more and more widely used for the analysis of social sequences and other multivariate categorical time series data. However, it is often complex to describe, visualize, and compare large sequence data, especially when there are
Satu Helske, Jouni Helske
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Journal of Advanced Transportation, 2022 Accurate traffic prediction is a powerful factor of intelligent transportation systems to make assisted decisions. However, existing methods are deficient in modeling long series spatio-temporal characteristics. Due to the complex and nonlinear nature of
Shanchun Zhao, Xu Li
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