SMAGS-LASSO: A Novel Feature Selection Method for Sensitivity Maximization in Early Cancer Detection. [PDF]
Khoshfekr Rudsari H +6 more
europepmc +1 more source
The noncoding region of the genome plays a key role in regulating gene expression, and mutations within these regions are capable of altering it. Researchers have identified multiple functional noncoding mutations associated with increased cancer risk in the genome of breast cancer patients.
Arnau Cuy Saqués +3 more
wiley +1 more source
Chaotic Lévy and adaptive restart enhance the Manta Ray foraging optimizer for gene feature selection. [PDF]
Adamu S +11 more
europepmc +1 more source
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck +12 more
wiley +1 more source
Scalable flight cancellation prediction with ensemble distributed KNN and feature selection. [PDF]
Kan HY, Chau K, Cheong-Iao Pang P.
europepmc +1 more source
A Population Initialization Method Based on Similarity and Mutual Information in Evolutionary Algorithm for Bi-Objective Feature Selection [PDF]
Xu Cai, Yu Xue
openalex +1 more source
Score-CAM++: Class Discriminative Localization with Feature Map Selection
Yifan Chen, Guoqiang Zhong
openalex +1 more source
Strength through diversity: how cancers thrive when clones cooperate
Intratumor heterogeneity can offer direct benefits to the tumor through cooperation between different clones. In this review, Kuiken et al. discuss existing evidence for clonal cooperativity to identify overarching principles, and highlight how novel technological developments could address remaining open questions.
Marije C. Kuiken +3 more
wiley +1 more source
A prior-knowledge-guided feature selection method and its application to biomarker identification of schizophrenia. [PDF]
Xing Y +4 more
europepmc +1 more source
Prediction using step-wise L1, L2 regularization and feature selection for small data sets with large number of features [PDF]
Ozgur Demir-Kavuk +3 more
openalex +1 more source

