Machine learning-based DNA microarray analysis for disease detection using the MICRO-AI framework. [PDF]
Othman MA.
europepmc +1 more source
Big Data in Cancer Genomics: Computational Foundations and Emerging Pathways for Precision Oncology
ABSTRACT This review aims to explore the computational foundations of big data in cancer genomics and examine emerging pathways that support precision oncology and personalized cancer care. A narrative review approach was adopted to synthesize evidence from PubMed, Scopus, Web of Science, and IEEE Xplore.
Nur Vanu +8 more
wiley +1 more source
GWKNN: an enhanced k-nearest neighbor algorithm with G metric reconstruction and Grey Wolf Optimizer. [PDF]
Guo Z, Liu G, Liu W, Ni Z, Jiang F.
europepmc +1 more source
ABSTRACT Rare cancers collectively represent 20%–25% of all malignancies yet yield fewer than 50 annotated whole‐slide images (WSIs) per subtype in publicly available archives, rendering supervised deep learning inapplicable. We present HierAnom‐Path, to the best of our knowledge, the first framework for zero‐shot rare cancer anomaly detection in ...
Noora Saleem Jumaah +5 more
wiley +1 more source
EMP: Enhanced Multi-modal Prediction for fashion sales using Fourier Mapping and ERP-based contrastive learning. [PDF]
Park S, Park B, Lee S, Shin S, Kim W.
europepmc +1 more source
Abstract Data from high‐throughput phenotyping (HTP) could be used for phenotype imputation to enhance genomic selection (GS) or gene discovery, but this has not been explored in crop species. Three machine learning models: multiple linear regression (MLR), missForest, and k‐nearest neighbors, were evaluated for grain yield (GY) phenotype imputation in
Raysa Gevartosky +2 more
wiley +1 more source
Hypertension Detection Using Explainable Stacked Ensemble Machine Learning From Clinical and Physiological Data: A Comprehensive Study. [PDF]
Ullah SMA, Aowlad Hossain ABM, Karim ME.
europepmc +1 more source
Large scale retrieval for the LinkedIn feed using causal language models
Abstract In large‐scale recommendation systems like LinkedIn's, the retrieval stage is critical for narrowing billions of potential candidates to a manageable subset for ranking. LinkedIn's feed now serves suggested content based on the topical interests of members, where 2000 candidates are retrieved from several million candidates with a latency ...
Sudarshan Srinivasa Ramanujam +23 more
wiley +1 more source
Evaluating imputation methods for accurate estimation of cell population fractions in single-cell RNA sequencing. [PDF]
Valyaeva AA, Tochilkina MS, Sheval EV.
europepmc +1 more source
ABSTRACT Introduction Artificial intelligence (AI) is a branch of technology enabling machines to emulate complex human skills; it can also entail problem‐solving using bioinspired methods. It is used for automating systematic literature reviews (SLR), that is, defining a clinical question, locating relevant literature, preliminary screening, study ...
Ana M. Barragán +5 more
wiley +1 more source

