Results 101 to 110 of about 464,587 (290)

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

Multi-modal adaptive photovoltaic power optimization and combination forecasting based on Q-Learning

电力工程技术
To address the challenges of high volatility and stochasticity in photovoltaic (PV) power series, a multi-modal adaptive PV power optimization forecasting model based on Q-Learning is proposed.
Zhichu WEI, Ping YANG, Qianyufan ZHOU, Wenhao CHEN, Siyang WAN, Jiayan CUI   +5 more
doaj   +1 more source

Enhancing IoT-Based Environmental Monitoring and Power Forecasting: A Comparative Analysis of AI Models for Real-Time Applications

Applied Sciences
The Internet of Things (IoT) is transforming industries by integrating sensors and connectivity into everyday objects, enabling enhanced monitoring, management, and automation through Machine-to-Machine (M2M) communication.
Md Minhazur Rahman, Md Ibne Joha, Md Shahriar Nazim, Yeong Min Jang   +3 more
doaj   +1 more source

Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma

Molecular Oncology, EarlyView.
Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra, Lucca Paolo Hsu Helmich, Daniel Rodrigues de Bastos, Laura Sichero, Patrícia Savio de Araujo‐Souza, Fabio Passetti, Luisa Lina Villa   +6 more
wiley   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gabor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source

Neural Network Models for Inflation Forecasting: An Appraisal [PDF]

We assess the power of artificial neural network models as forecasting tools for monthly inflation rates for 28 OECD countries. For short out-of-sample forecasting horizons, we find that, on average, for 45% of the countries the ANN models were a ...
Adnan Haider, Ali Choudhary
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Short-term wind forecasting for energy resources scheduling [PDF]

, 2012
This paper proposes a wind power forecasting methodology based on two methods: direct wind power forecasting and wind speed forecasting in the first phase followed by wind power forecasting using turbines characteristics and the aforementioned wind speed
Ramos, Sérgio, Silva, Marco, Soares, João, Vale, Zita   +3 more
core  

Pre‐analytical optimization of cell‐free DNA and extracellular vesicle‐derived DNA for mutation detection in liquid biopsies

Molecular Oncology, EarlyView.
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen, Lucrezia De Santis, Bret M. Stephens, Vincent Bernard, Jörg C. Kalff, Lara Braun, Phillipp Leyendecker, Johannes Röttgen, Daniel Weissinger, Anirban Maitra, Paola A. Guerrero, Alexander Semaan   +11 more
wiley   +1 more source

A Regional Distributed Photovoltaic Power Forecasting Method Based on Cluster Division and Selection of Representative Plants

Energy Science & Engineering
As the proportion of distributed photovoltaic (DPV) power generation in the energy structure increases, accurate forecasting of its power output is crucial for ensuring the stability and reliability of the power grid.
Honglu Zhu, Xi Zhang, Yuhang Wang, Huang Ding   +3 more
doaj   +1 more source

Applicability of the EWMA model to estimate the volatility of Istanbul stock exchange bonds and bills market [PDF]

Calculations based on Volatility Forecasting Models are the leading research topics in today’s financial markets. Numerous volatility models exist to predict the future in financial markets, ranging from historical and forecasting models to conditional ...
Canturk KAYAHAN, Riza ASIKOGLU
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