Results 151 to 160 of about 531,551 (278)

Significant variation in the performance of DNA methylation predictors across data preprocessing and normalization strategies. [PDF]

Genome Biol, 2022
Ori APS, Lu AT, Horvath S, Ophoff RA.
europepmc   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

SCPline: An interactive framework for the single-cell proteomics data preprocessing. [PDF]

Brief Bioinform
Guo S, Zhou S, Wang G, Wang F.
europepmc   +1 more source

Low-Cost Ka-Band Satellite Receiver Data Preprocessing for Tropospheric Propagation Studies. [PDF]

Sensors (Basel), 2022
Pastoriza-Santos V, Machado F, Nandi D, Pérez-Fontán F.   +3 more
europepmc   +1 more source

Efficacy and Safety Assessment of 5‐Fluorouracil, Irinotecan and Oxaliplatin‐Loaded Implants in Mouse and Pig Models for Pancreatic Cancer Therapy

Advanced Materials, EarlyView.
A novel FIRINOX‐loaded implant demonstrates controlled drug release, and potent therapeutic efficacy in pancreatic ductal adenocarcinoma mouse models with safety confirmed in a large‐animal pre‐clinical model. This innovative drug delivery platform offers a promising new treatment approach for non‐resectable, treatment‐resistant pancreatic cancer ...
Samantha J. Wade, Ashna A. Kumar, Samuel O. Nitschke, Paul Joyce, Elahe Minaei, Stephanie E. Reuter Lange, Chelsea Penney, Holly Warren, Ruby Shepherd, Jeremy N. Dinoro, Gordon G. Wallace, Anthony Dosseto, Sameera Ansar, Naila Islam, Alistair Lochhead, George Sharbeen, Phoebe A. Phillips, Morteza Aghmesheh, Wayne J. Hawthorne, Kara L. Vine‐Perrow   +19 more
wiley   +1 more source

A review on spectral data preprocessing techniques for machine learning and quantitative analysis. [PDF]

iScience
Yan C.
europepmc   +1 more source

automRm: An R Package for Fully Automatic LC-QQQ-MS Data Preprocessing Powered by Machine Learning. [PDF]

Anal Chem, 2022
Eilertz D, Mitterer M, Buescher JM.
europepmc   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Optimized Sensor Data Preprocessing Using Parameter-Transfer Learning for Wind Turbine Power Curve Modeling. [PDF]

Sensors (Basel)
Martín-Calzada P, Martín Sánchez P, Rodríguez-Sánchez FJ, Santos-Pérez C, Ballesteros J.   +4 more
europepmc   +1 more source

Communicator-Driven Data Preprocessing Improves Deep Transfer Learning of Histopathological Prediction of Pancreatic Ductal Adenocarcinoma. [PDF]

Cancers (Basel), 2022
Kronberg RM, Haeberle L, Pfaus M, Xu HC, Krings KS, Schlensog M, Rau T, Pandyra AA, Lang KS, Esposito I, Lang PA.   +10 more
europepmc   +1 more source