Results 51 to 60 of about 693,025 (273)

Cancer‐associated mutations in endometriosis reframe a benign disease through molecular oncology

Molecular Oncology, EarlyView.
This review aims to comprehensively analyse cancer‐associated somatic mutations (CAMs) present in endometriotic lesions, emphasizing their biological roles, spatial distribution and implications for translational applications in medicine. By contextualizing a benign state within a genomic framework, this analysis seeks to establish its value as a ...
Clarissa Mujacic, Maria Concetta Vitale, Rita Siino, Emilia Di Giovanni, Carla Ferrante Bannera, Enrico Di Marco, Andrea Gottardo, Tancredi Didier Bazan Russo, Nadia Barraco, Alessandro Perez, Valerio Gristina, Antonio Galvano, Giuseppe Badalamenti, Antonio Russo, Viviana Bazan, Lorena Incorvaia   +15 more
wiley   +1 more source

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

Molecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

Weather Classification in West Java using Ensemble Learning on Meteorological Data

Sistemasi: Jurnal Sistem Informasi
Weather classification in West Java presents several challenges, particularly related to class imbalance in the dataset and the complexity of meteorological variables.
Cynthia Nur Azzahra, Yulison Herry Chrisnanto, Gunawan Abdillah   +2 more
doaj   +1 more source

Opportunities and challenges of supervised machine learning for the classification of motor evoked potentials according to muscles

BMC Medical Informatics and Decision Making, 2023
Background Even for an experienced neurophysiologist, it is challenging to look at a single graph of an unlabeled motor evoked potential (MEP) and identify the corresponding muscle.
Jonathan Wermelinger, Qendresa Parduzi, Murat Sariyar, Andreas Raabe, Ulf C. Schneider, Kathleen Seidel   +5 more
doaj   +1 more source

Machine Learning-Based Epileptic Seizure Detection Methods Using Wavelet and EMD-Based Decomposition Techniques: A Review

Sensors, 2021
Epileptic seizures are temporary episodes of convulsions, where approximately 70 percent of the diagnosed population can successfully manage their condition with proper medication and lead a normal life.
Rabindra Gandhi Thangarajoo, Mamun Bin Ibne Reaz, Geetika Srivastava, Fahmida Haque, Sawal Hamid Md Ali, Ahmad Ashrif A. Bakar, Mohammad Arif Sobhan Bhuiyan   +6 more
doaj   +1 more source

An Improved Algorithm for Bayes Classifier to Handle Correlated Attributes

International Journal of Computer Applications, 2013
Classification can be defined as a target function which maps attribute value of objects to predefined class. One objective is to divide the objects into proper group and other objective is to predict the class of unknown records. Bayesian classifier classifies and predicts the class of objects on the basis of posterior probability based on some prior ...
Kshitij Pathak, Sharmishtha Panagare
openaire   +1 more source

Spatial biology in cancer epigenetics

Molecular Oncology, EarlyView.
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley   +1 more source

Enhancing wind speed prediction in wind farms through ordinal classification

Energy and AI
This paper presents and evaluates two novel ordinal classification methods for wind speed prediction, considering three prediction time-horizons: 1h, 4h, and 8h.
A.M. Gómez-Orellana, M. Vega-Bayo, D. Guijo-Rubio, J. Pérez-Aracil, V.M. Vargas, P.A. Gutiérrez, L. Prieto-Godino, S. Salcedo-Sanz, C. Hervás-Martínez   +8 more
doaj   +1 more source

Facial Attribute Recognition With Feature Decoupling and Graph Convolutional Networks

IEEE Access, 2019
The objective of facial attribute recognition is to predict a set of labels for each face image. Similar to general multi-label image classification task, facial attribute recognition suffers from several typical problems: discriminative feature learning,
Fudong Nian, Xia Chen, Shimeng Yang, Gang Lv   +3 more
doaj   +1 more source

Improving scenario discovery for handling heterogeneous uncertainties and multinomial classified outcomes

Environmental Modelling & Software, 2016
AbstractScenario discovery is a novel model-based approach to scenario development in the presence of deep uncertainty. Scenario discovery frequently relies on the Patient Rule Induction Method (PRIM). PRIM identifies regions in the model input space that are highly predictive of producing model outcomes that are of interest.
Jan H. Kwakkel, Marc Jaxa-Rozen
openaire   +3 more sources