Results 111 to 120 of about 141,868 (281)
Dissecting the Ecological Structure of Health and Disease in the Global Gut Microbiome
Advanced Science, EarlyView.We introduce Wiredancer, a framework that identifies three continuous ecological factors of the gut microbiota. These factors exhibit distinct patterns across health and disease, jointly capturing disrupted ecological stability and offering a new perspective for precision diagnostics and therapeutic strategies.
Baoyuan Zhu +19 more
wiley +1 more source
Seabed Modelling by Means of Airborne Laser Bathymetry Data and Imbalanced Learning for Offshore Mapping. [PDF]
Sensors (Basel), 2022 Kogut T +3 more
europepmc +1 more source
Advanced Science, EarlyView.ABSTRACT Base editors enable precise genome modification and have emerged as a promising therapeutic approach for correcting diseases caused by single‐nucleotide variants. While the current efficient version of adenine base editors (ABEs), such as ABE8e, exhibits exceptional efficiency for A‐to‐G conversions, their clinical translation is hindered by ...
Jiawei Yao +12 more
wiley +1 more source
Enzymatic DNA Reaction Networks for Orchestrating Stimuli‐Dependent Temporal Molecular Pulse
Advanced Science, EarlyView.We present an enzymatic DNA reaction network (EDRN) that encodes nucleic‐acid targets in time, converting inputs into a universal strand and then into programmable transient fluorescence pulses. With time‐color multiplexing, EDRN enables single‐tube high‐plex nucleic acid detection and shows strong agreement with clinical sequencing across 32 specimens.
Jiayu Yang +7 more
wiley +1 more source
Identifying anti-coronavirus peptides by incorporating different negative datasets and imbalanced learning strategies. [PDF]
Brief Bioinform, 2021 Pang Y, Wang Z, Jhong JH, Lee TY.
europepmc +1 more source
Plant Genetic Engineering: Technological Pathways, Application Scenarios, and Future Directions
Advanced Science, EarlyView.This review maps the fast‐evolving landscape of plant genetic engineering, linking enabling platforms with trait‐focused applications in architecture optimization, stress resilience, yield improvement, and quality enhancement. It highlights how genome editing, transgenic strategies, and emerging multi‐gene approaches reshape breeding pipelines, while ...
Peilin Wang +4 more
wiley +1 more source
InformationEpileptic seizure detection and classification from EEG recordings faces significant challenges due to extreme class imbalance. Analysis of the Temple University Hospital Seizure (TUSZ) dataset reveals imbalance ratios of 150:1 between common and rare ...
Peter Akor +4 more
doaj +1 more source
Learning from imbalanced and heterogeneous data
, 2017 Big data analysis is a term describing the analysis of large and/or complex datasets using a series of techniques including but not limited to machine learning techniques. Contemporary digital world comprises multiple forms of unstructured and/or semi-structured data that are inter-linked and inter-related in complex networks.
openaire +2 more sources
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
An empirical evaluation of imbalanced data strategies from a practitioner's point of view
, 2018 This research tested the following well known strategies to deal with binary imbalanced data on 82 different real life data sets (sampled to imbalance rates of 5%, 3%, 1%, and 0.1%): class weight, SMOTE, Underbagging, and a baseline (just the base ...
Franceschinell, Rodrigo A. +1 more
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