Results 41 to 50 of about 3,634,675 (142)

On the Behaviour of Weighted Permutation Entropy on Fractional Brownian Motion in the Univariate and Multivariate Setting

, 2021
The estimation of the qualitative behaviour of fractional Brownian motion is an important topic for modelling real-world applications. Permutation entropy is a well-known approach to quantify the complexity of univariate time series in a scalar-valued ...
Florian Wilhelm, Ralf Möller, Marisa Mohr   +2 more
core   +1 more source

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

Molecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic, Rafael Stroggilos, Mladen Marinkovic, Ana Djuric, Suzana Stojanovic‐Rundic, Radmila Jankovic, Sergi Castellvi‐Bel, Remond J.A. Fijneman, Antonia Vlahou, Jerome Zoidakis, Milena Cavic   +10 more
wiley   +1 more source

Classification of Hepatitis Viruses from Sequencing Chromatograms Using Multiscale Permutation Entropy and Support Vector Machines

, 2019
Classifying nucleic acid trace files is an important issue in molecular biology researches. For the purpose of obtaining better classification performance, the question of which features are used and what classifier is implemented to best represent the ...
Aşkın, Öyküm Esra, Öyküm Esra Aşkın, Öz, Ersoy, Ersoy Öz   +3 more
core   +1 more source

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

Molecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso, Md Shohel Ul Islam, Rosa M Xicola, Raj Ramesar, Xavier Llor, Sinclair Steele   +5 more
wiley   +1 more source

Epileptogenic focus detection in intracranial EEG based on delay permutation entropy [PDF]

, 2013
Epileptogenic localization is a critical factor for successful epilepsy surgery. Determining the epileptogenic hippocampus with single channel intracranial electroencephalography (iEEG) recording is beneficial to decrease the risk of infection compared ...
Peng Paul Wen, Min Xi, Zhu, Guohun, Xi, Min, Guohun Zhu, Li, Yan, Shuaifang Wang, Wang, Shuaifang, Wen, Peng (Paul), Yan Li   +9 more
core   +1 more source

Use of Composite Multivariate Multiscale Permutation Fuzzy Entropy to Diagnose the Faults of Rolling Bearing

, 2023
The study focuses on the fault signals of rolling bearings, which are characterized by nonlinearity, periodic impact, and low signal-to-noise ratio.
Hong Liu, Chongkun Liang, Lijiao Cheng, Qiang Yuan, Ruiping Zhou, Mingchen Lv   +5 more
core   +1 more source

Targeting the EpCAM‐AXL axis to overcome drug resistance in lung cancer

Molecular Oncology, EarlyView.
Lung cancer cells often evade therapy by hijacking signaling pathways. We reveal that cleaved EpCAM (sEpCAM) stabilizes the oncogenic protein AXL, driving NF‐κB and STAT3‐mediated chemoresistance. This EpCAM‐AXL axis identifies a high‐risk patient subset with poor prognosis.
Alexa Guerrero‐Alba, Mark Shacker, Timothy P. Fleming, Michael A. Smith, Ross M. Bremner, Narendra V. Sankpal   +5 more
wiley   +1 more source

Reprogramming tumor cells with LCOR mRNA nanotherapy to enhance immunotherapy

Molecular Oncology, EarlyView.
LCOR (Ligand‐dependent corepressor) mRNA encapsulated in polymeric nanoparticles restores LCOR activity in tumor cells, constraining aggressive tumor cell states and increasing tumor immunogenicity. This reprogramming makes tumor cells more vulnerable to T‐cell attack and enhances their response to immune‐checkpoint immunotherapy.
Gabriel Serra‐Mir, Elena Haro‐Martínez, Sandra Blasco‐Benito, Chiara Cannatà, José Ángel Palomeque, Anna López‐Plana, Maria Sanz‐Flores, Marc Sabartés, Cristina Fornaguera, Toni Celià‐Terrassa   +9 more
wiley   +1 more source

Classifying Epileptic EEG Signals with Delay Permutation Entropy and Multi-scale K-Means

, 2014
Most epileptic EEG classification algorithms are supervised and require large training datasets, that hinder their use in real time applications. This chapter proposes an unsupervised Multi-Scale K-means (MSK-means) algorithm to distinguish epileptic EEG
Zhu, Guohun, Guohun Zhu, Li, Yan, Shuaifang Wang, Wang, Shuaifang, Peng Wen, Wen, Peng (Paul), Yan Li   +7 more
core   +1 more source

Anesthesia Assessment Based on ICA Permutation Entropy Analysis of Two-Channel EEG Signals [PDF]

, 2019
Inaccurate assessment may lead to inaccurate levels of dosage given to the patients that may lead to intraoperative awareness that is caused by under dosage during surgery or prolonged recovery in patients that is caused by over dosage after the surgery ...
Sivakumar, Prashanth, Tianning Li, Li, Tianning, Tao, Xiaohui, Prashanth Sivakumar, Xiaohui Tao   +5 more
core   +1 more source