Results 61 to 70 of about 531,551 (278)

Transcriptional profiling of circulating extracellular vesicles from prebiopsy prostate cancer patients

Molecular Oncology, EarlyView.
RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner, Pierre Tennstedt, Randi C. Pose, Christian Müller, Katharina Besler, Svenja Schneegans, Malik Alawi, Marie C. Roesch, Sven Peine, Desiree Bonci, Joanna Budna‐Tukan, Evi Lianidou, Catherine Alix‐Panabières, Derya Tilki, Klaus Pantel   +14 more
wiley   +1 more source

Network Localization of Fatigue in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo, Jaakko Kungshamn, Albert Bellmunt‐Gil, Silvia Tommasin, Abhineet Ojha, Matias Viitala, Juho Aaltonen, Jyrki Lötjönen, Juha Koikkalainen, Pauli Ylikotila, Patrizia Pantano, Merja Soilu‐Hänninen, Juho Joutsa   +12 more
wiley   +1 more source

TCGADownloadHelper: simplifying TCGA data extraction and preprocessing

Frontiers in Genetics
The Cancer Genome Atlas (TCGA) provides comprehensive genomic data across various cancer types. However, complex file naming conventions and the necessity of linking disparate data types to individual case IDs can be challenging for first-time users ...
Alexandra Anke Baumann, Alexandra Anke Baumann, Olaf Wolkenhauer, Olaf Wolkenhauer, Olaf Wolkenhauer, Markus Wolfien, Markus Wolfien   +6 more
doaj   +1 more source

PREPROCESSING OF HOPKINSON BAR EXPERIMENT DATA: FILTER ANALYSIS

Acta Polytechnica CTU Proceedings, 2018
This work presents a data preprocessing procedure for signal acquired during high strain-rate loading using a custom Split Hopkinson Pressure Bar (SHPB).
Marcel Adorna, Jan Falta, Tomáš Fíla, Petr Zlámal   +3 more
doaj   +1 more source

Analysis and design of scalable pre-processing techniques of instances for imbalanced Big Data problems. Applications in humanitarian emergencies situations.

Journal of Computer Science and Technology, 2022
This thesis addresses the distributed and scalable pre-processing of Big Data sets, in order to obtain good quality data, known as Smart Data. Particularly, it focuses on classification problems, and on addressing the following characteristics: (a ...
María José Basgall
doaj   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

The ABRF Metabolomics Research Group 2016 Exploratory Study: Investigation of Data Analysis Methods for Untargeted Metabolomics

Metabolites, 2020
Lack of standardized applications of bioinformatics and statistical approaches for pre- and postprocessing of global metabolomic profiling data sets collected using high-resolution mass spectrometry platforms remains an inadequately addressed issue in ...
Christoph W. Turck, Tytus D Mak, Maryam Goudarzi, Reza M Salek, Amrita K Cheema   +4 more
doaj   +1 more source

Preprocessing of Prithvi Post Flight data for Parameter Identification [PDF]

, 1989
This document presents the methods of preprocessing flight data . The data acquired during flight test contain data spikes and- noise, due to various reasons and requires processing .
Raol, JR, Santhakumar, N
core  

Data Structures for Halfplane Proximity Queries and Incremental Voronoi Diagrams

, 2017
We consider preprocessing a set $S$ of $n$ points in convex position in the plane into a data structure supporting queries of the following form: given a point $q$ and a directed line $\ell$ in the plane, report the point of $S$ that is farthest from (or,
Aronov, Boris, Bose, Prosenjit, Demaine, Erik D., Gudmundsson, Joachim, Iacono, John, Langerman, Stefan, Smid, Michiel   +6 more
core   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source