RNA-sequencing and mass-spectrometry proteomic time-series analysis of T-cell differentiation identified multiple splice variants models that predicted validated protein biomarkers in inflammatory diseases [PDF]
Frontiers in Molecular Biosciences, 2021 Profiling of mRNA expression is an important method to identify biomarkers but complicated by limited correlations between mRNA expression and protein abundance. We hypothesised that these correlations could be improved by mathematical models based on measuring splice variants and time delay in protein translation.
Rasmus Magnusson +21 more
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Multineuronal Spike Sequences Repeat with Millisecond Precision
Frontiers in Neural Circuits, 2013 Cortical microcircuits are nonrandomly wired by neurons. As a natural consequence, spikes emitted by microcircuits are also nonrandomly patterned in time and space.
Koki eMatsumoto +3 more
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ClickClust: An R Package for Model-Based Clustering of Categorical Sequences
Journal of Statistical Software, 2016 The R package ClickClust is a new piece of software devoted to finite mixture modeling and model-based clustering of categorical sequences. As a special kind of time series, categorical sequences, also known as categorical time series, exhibit a time ...
Volodymyr Melnykov
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Sufficient conditions for convergence of multiple Fourier series with Jk-lacunary sequence of rectangular partial sums in terms of Weyl multipliers [PDF]
Acta Scientiarum Mathematicarum, 2017 We obtain sufficient conditions for convergence (almost everywhere) of multiple trigonometric Fourier series of functions $f$ in $L_2$ in terms of Weyl multipliers. We consider the case where rectangular partial sums of Fourier series $S_n(x;f)$ have indices $n=(n_1,\dots,n_N) \in \mathbb Z^N$, $N\ge 3$, in which $k$ $(1\leq k\leq N-2)$ components on ...
Bloshanskii, I. L. +2 more
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ON \(\Lambda\)-CONVERGENCE ALMOST EVERYWHERE OF MULTIPLE TRIGONOMETRIC FOURIER SERIES
Ural Mathematical Journal, 2017 We consider one type of convergence of multiple trigonometric Fourier series intermediate between the convergence over cubes and the \(\lambda \)-convergence for \(\lambda >1\).
Nikolai Yu. Antonov
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Galaxy Workflows for Web-based Bioinformatics Analysis of Aptamer High-throughput Sequencing Data
Molecular Therapy: Nucleic Acids, 2016 Development of RNA and DNA aptamers for diagnostic and therapeutic applications is a rapidly growing field. Aptamers are identified through iterative rounds of selection in a process termed SELEX (Systematic Evolution of Ligands by EXponential enrichment)
William H Thiel
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Scientific Reports, 2022 Symptoms of leaf blight, stem canker, and pod rot were observed on T. cacao during a series of samplings conducted in several states of Malaysia from September 2018 to March 2019.
Abd Rahim Huda-Shakirah +4 more
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Single and Multi-Sequence Deep Learning Models for Short and Medium Term Electric Load Forecasting
Energies, 2019 Time series analysis using long short term memory (LSTM) deep learning is a very attractive strategy to achieve accurate electric load forecasting. Although it outperforms most machine learning approaches, the LSTM forecasting model still reveals a lack ...
Salah Bouktif +3 more
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Prediction Mechanism Based on Multi-dimensional Hidden States for Non-stationary Time Series [PDF]
Jisuanji gongchengTime series predicting is widely applicable in industrial production, financial decision-making, and early disaster warning. However, most existing methods primarily target stationary time series, failing to accurately capture the evolutionary ...
ZHANG Xiao, LI Deshi
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A General Framework for Flight Maneuvers Automatic Recognition
Mathematics, 2022 Flight Maneuver Recognition (FMR) refers to the automatic recognition of a series of aircraft flight patterns and is a key technology in many fields. The chaotic nature of its input data and the professional complexity of the identification process make ...
Jing Lu, Hongjun Chai, Ruchun Jia
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