Results 151 to 160 of about 1,601,810 (338)

An Electro encephalographic signal Classification in Large Data Set using Deep learning Techniques

, 2020
K Kumar, P Kishore, V Rachapudi, V Varikuti, J Anubrolu, C Geethika, P Lakshmi Prasanna, D Rajeswara Rao, A Mitra, T Si, A De, A Bhattacharjee, I Wijayanto, R Hartanto, H Nugroho, B Winduratna, S Raghu, N Sriraam, Y Temel, S Rao, P Kubben, M Golmohammadi, A Torbati, S De Diego, I Obeid, J Picone, S Bangare, G Pradeepini, S Patil, U Vignesh, V Sivakumar, N Ramana, S Rahul, A Reddy, C Phanikrishna, Raju Anitha, Saiteja Mothe, R Tata   +37 more
openalex   +1 more source

Blind Signal Classification Analysis and Impact on User Pairing and Power Allocation in Nonorthogonal Multiple Access [PDF]

, 2020
Minseok Choi, Joongheon Kim
openalex   +1 more source

Classification-Based Screening of Parkinson’s Disease Patients through Graph and Handwriting Signals [PDF]

, 2021
Maria Fratello, Fulvio Cordella, Giovanni Albani, Giuseppe Veneziano, Giuseppe Marano, Alessandra Paffi, Antonio Pallotti   +6 more
openalex   +1 more source

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

Molecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns, Jaclyn S. Long, Sergio Lilla, Kelly Hodge, Marcus J. G. W. Ladds, Colin Nixon, Paula Fernández‐Palanca, Sara Zanivan, Pilar Acedo, Stephen P. Pereira, Kevin M. Ryan   +10 more
wiley   +1 more source

Classification of Electromyographic Signals: Comparing Evolvable Hardware to Conventional Classifiers

, 2012
Paul Kaufmann, Kyrre Glette, Thiemo Gruber, Marco Platzner, Jim Tørresen, Bernhard Sick   +5 more
openalex   +2 more sources

One-class Classification based Fault Classification for Semiconductor Process Cyclic Signal [PDF]

, 2012
Min-Young Cho, Jun‐Geol Baek
openalex   +1 more source

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

Signal Folding for Efficient Classification of Near-Cyclostationary Biological Signals [PDF]

, 2022
Tianxiang Zheng, Pavel Loskot
openalex   +1 more source

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

Molecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova, Zuzana Kozovska, Ondrej Pos, Kristina Pavlov, Sachin Gulati, Peter Makovicky, Kristina Jakic, Monika Burikova, Eva Sedlackova, Barbora Svitkova, Silvia Tyciakova, Vojtech Bystry, Nicolas Blavet, Boris Tichy, Matej Hrnciar, Jaroslav Budis, Miroslav Tomas, Peter Dubovan, Georgina Kolnikova, Veronika Repaska, Nikoleta Mojzesova, Eva Zomborska, Daniel Pindak, Michal Mego, Tomas Szemes, Miroslava Matuskova   +25 more
wiley   +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