Results 1 to 10 of about 1,208,960 (264)

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, Chengang Liu, Xiao Zou, Lin Shao, Ying Sun, Yang Guo   +5 more
openaire   +3 more sources

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
doaj   +2 more sources

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, Olof Rundquist, Min Jung Kim, Sandra Hellberg, Chan Hyun Na, Mikael Benson, David Gomez-Cabrero, Ingrid Kockum, Jesper N. Tegnér, Jesper N. Tegnér, Jesper N. Tegnér, Fredrik Piehl, Maja Jagodic, Johan Mellergård, Johan Mellergård, Claudio Altafini, Jan Ernerudh, Jan Ernerudh, Maria C. Jenmalm, Colm E. Nestor, Min-Sik Kim, Mika Gustafsson   +21 more
openaire   +6 more sources

The complex set of internal repeats in SpTransformer protein sequences result in multiple but limited alternative alignments

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, L. Courtney Smith   +1 more
doaj   +1 more source

Ultra-short-term load prediction of integrated energy system based on load similar fluctuation set classification

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, Dongxu Liu, Xin Su, Jinxin Wang, Yu Cui   +4 more
doaj   +1 more source

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
doaj   +1 more source

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, T. Portafaix, H. Bencherif, H. Bencherif, A. Bourdier, E. Lagracie, E. Lagracie   +6 more
doaj   +1 more source

Discrete Elastic Inner Vector Spaces with Application in Time Series and Sequence Mining [PDF]

, 2012
This paper proposes a framework dedicated to the construction of what we call discrete elastic inner product allowing one to embed sets of non-uniformly sampled multivariate time series or sequences of varying lengths into inner product space structures.
Bonnel, Nicolas, Marteau, Pierre-François, Ménier, Gilbas   +2 more
core   +4 more sources

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
doaj   +1 more source

An Attention Encoder-Decoder Dual Graph Convolutional Network with Time Series Correlation for Multi-Step Traffic Flow Prediction

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
doaj   +1 more source