Results 131 to 140 of about 18,244,857 (290)

A Real‐Data‐Driven Framework for Evaluating Differential Transcript Usage Methods Across Long‐Read Bulk, Single‐Cell, and Spatial Transcriptomics

Advanced Science, EarlyView.
Grounded in real biological RNA‐seq data, the framework benchmarks ten differential transcript usage (DTU) methods across short‐read bulk, long‐read bulk, long‐read single‐cell, and long‐read spatial transcriptomics. By integrating reference transcript sets with ranked DTU results, the Transcript Set Enrichment Score (TSES) identifies data‐type ...
Chenxing Zhang, Jun Liu, Qi Zhao, Huilong Yin, Angang Yang, Minhua Zheng, Rui Zhang   +6 more
wiley   +1 more source

MFDR++: Robust and Efficient Multivariate Time Series Forecasting With Deep Reconstruction

IEEE Access
Recent advances in deep learning–based multivariate time series (MTS) forecasting indicate that increasing model complexity does not necessarily yield better accuracy, largely due to improper inductive biases in modeling intra- and interseries ...
Zhenyang Zhang, Mingqiang Yuan, Xiong Ge, Donghui Wang, Ruoxuan Luan, Zhiqi Song, Wei Li   +6 more
doaj   +1 more source

A Metabolic‐Epigenetic Axis of AARS1/IGF2BP3‐K280 Lactylation Sustains Endometrial Cancer Stemness and Recurrence

Advanced Science, EarlyView.
Lactate‐driven endometrial cancer relapse is mediated by enzymatic protein modification. Elevated lactate levels activate AARS1, which catalyzes K280 lactylation of IGF2BP3, therefore stabilizing HMGA2 mRNA and promoting tumor stemness and recurrence.
Peng Jiang, Yunfeng Zheng, Chenfan Tian, Yuan Tu, Xiaoxia Chang, Jiaxin Yu, Hangkun Yu, Chunxia Gong, Jie Xiong, Philip N. Baker, Yong Fu, Chao Tong   +11 more
wiley   +1 more source

Retail Demand Forecasting: A Comparative Analysis of Deep Neural Networks and the Proposal of LSTMixer, a Linear Model Extension

Information
Accurate retail demand forecasting is integral to the operational efficiency of any retail business. As demand is described over time, the prediction of demand is a time-series forecasting problem which may be addressed in a univariate manner, via ...
Georgios Theodoridis, Athanasios Tsadiras   +1 more
doaj   +1 more source

Differentially private multivariate time series forecasting of aggregated human mobility with deep learning: Input or gradient perturbation? [PDF]

Neural Comput Appl, 2022
Arcolezi HH, Couchot JF, Renaud D, Al Bouna B, Xiao X.   +4 more
europepmc   +1 more source

Multimodal Imaging of Hypoxia, Metabolism and pH in Feline Sarcoma Using Hyperpolarized 13C MRI and PET

Advanced Science, EarlyView.
This work presents a clinically deployable simultaneous PET/MRI workflow which integrates hyperpolarized 13C imaging of metabolism and extracellular pH with [18F]FMISO PET to characterize hypoxia, acidosis, and metabolic reprogramming in feline sarcoma.
Martin Grashei, Tanja Groll, Stephanie Kahl, Silke Baer, Elisabeth Bliemsrieder, Frits H. A. van Heijster, Andre Wendlinger, Pascal Wodtke, Jorge Cabello, Susan Notohamiprodjo, Christian Lohrmann, Markus Schwaiger, Wolfgang A. Weber, Katja Steiger, Andrea Meyer‐Lindenberg, Johannes Hirschberger, Christine Baumgartner, Franz Schilling   +17 more
wiley   +1 more source

Impact of Covid-19 pandemic on electricity demand in the UK based on multivariate time series forecasting with Bidirectional Long Short Term Memory. [PDF]

Energy (Oxf), 2021
Liu X, Lin Z.
europepmc   +1 more source

New multivariate time-series estimators in Stata [PDF]

Stata 11 has new commands sspace and dvech for estimating the parameters of space-space models and diagonal-vech multivariate GARCH models, respectively.
David M. Drukker
core  

ROS/pH‐Responsive Phenylboronic Acid–Chitosan Nanoparticles Improve Silymarin‐Mediated Hepatoprotection After Hepatectomy With Gut‐Liver Axis‐Associated Responses

Advanced Science, EarlyView.
Bioactive phenylboronic acid–chitosan nanoparticles enable responsive silymarin delivery for post‐hepatectomy liver protection. The nanoplatform integrates antioxidant and antibacterial functions, improves hepatic recovery, and is associated with coordinated shifts in gut microbiota, metabolites, cytokines, and hepatic proteomic pathways, suggesting a ...
Jinjin Tong, Chaochao Luo, Zezheng Liu, Xinyan Zhang, Daixu Jia, Yang Sun, Zhaonan Zhang, Haoran Shi, Jianfang Wang, Hua Zhang   +9 more
wiley   +1 more source

Enhanced Forecasting of Groundwater Level Incorporating an Exogenous Variable: Evaluating Conventional Multivariate Time Series and Artificial Neural Network Models

Geographies
Continuous and uncontrolled extraction of groundwater often creates tremendous pressure on groundwater levels (GWLs). As a part of sustainable planning and effective management of water resources, it is crucial to assess the existing and forecasted GWL ...
Md Abrarul Hoque, Asib Ahmmed Apon, Md Arafat Hassan, Sajal Kumar Adhikary, Md Ariful Islam   +4 more
doaj   +1 more source