Search
Search Results
-
DeepARV: ensemble deep learning to predict drug-drug interaction of clinical relevance with antiretroviral therapy
Drug-drug interaction (DDI) may result in clinical toxicity or treatment failure of antiretroviral therapy (ARV) or comedications. Despite the high...
-
Comparison of cancer subtype identification methods combined with feature selection methods in omics data analysis
BackgroundCancer subtype identification is important for the early diagnosis of cancer and the provision of adequate treatment. Prior to identifying...
-
iIL13Pred: improved prediction of IL-13 inducing peptides using popular machine learning classifiers
BackgroundInflammatory mediators play havoc in several diseases including the novel Coronavirus disease 2019 (COVID-19) and generally correlate with...
-
Monitoring leaf nitrogen content in rice based on information fusion of multi-sensor imagery from UAV
Timely and accurately monitoring leaf nitrogen content (LNC) is essential for evaluating crop nutrition status. Currently, Unmanned Aerial Vehicles...
-
Prediction and Analysis of Key Genes in Prostate Cancer via MRMR Enhanced Similarity Preserving Criteria and Pathway Enrichment Methods
Informative gene discovery has grown in interest in the field of biomedical research with the advent of high throughput technologies. The filter...
-
A novel and innovative cancer classification framework through a consecutive utilization of hybrid feature selection
Cancer prediction in the early stage is a topic of major interest in medicine since it allows accurate and efficient actions for successful medical...
-
Enhancing mass spectrometry imaging accessibility using convolutional autoencoders for deriving hypoxia-associated peptides from tumors
Mass spectrometry imaging (MSI) allows to study cancer’s intratumoral heterogeneity through spatially-resolved peptides, metabolites and lipids. Yet,...
-
Biomarker discovery with quantum neural networks: a case-study in CTLA4-activation pathways
BackgroundBiomarker discovery is a challenging task due to the massive search space. Quantum computing and quantum Artificial Intelligence (quantum...
-
Comparison of five supervised feature selection algorithms leading to top features and gene signatures from multi-omics data in cancer
BackgroundAs many complex omics data have been generated during the last two decades, dimensionality reduction problem has been a challenging issue...
-
Wood anatomical spectrum of co-occurring species in early and late-successional tropical dry forest communities
Key messageAnalysis of wood anatomical traits revealed that drought tolerance predominates in early-successional communities, and vessel variability...
-
Harmonizing heterogeneous transcriptomics datasets for machine learning-based analysis to identify spaceflown murine liver-specific changes
NASA has employed high-throughput molecular assays to identify sub-cellular changes impacting human physiology during spaceflight. Machine learning...
-
Microbial and enzymatic changes in cigar tobacco leaves during air-curing and fermentation
AbstractMetabolic enzyme activity and microbial composition of the air-curing and fermentation processes determine the quality of cigar tobacco...
-
Coastal freshwater stream fish fauna from a threatened estuarine lagoon complex in northeastern Brazil
Freshwater ecosystems play a vital role in sustaining human populations; however, these environments are increasingly subject to human interference,...
-
Predicting gene phenotype by multi-label multi-class model based on essential functional features
Phenotype is one of the most significant concepts in genetics, which is used to describe all the characteristics of a research object that can be...
-
Patterns and driving factors of functional traits of desert species with different elevational distributions in the Tibetan Plateau and adjacent areas
Variations in functional traits serve as measures of plants’ ability to adapt to environment. Exploring the patterns of functional traits of desert...
-
Avian functional diversity across the neotropics: current knowledge and perspectives
The value of birds as indicators of environmental change is of greater relevance given the current rapid habitat loss and transformation rates. This...
-
Maximum air temperature controlled by landscape topography affects plant species composition in temperate forests
ContextForest microclimates differ from regional macroclimates because forest canopies affect energy fluxes near the ground. However, little is known...
-
Tropical headwater streams and the role of non-native species on fish assemblage’s diversity
Non-native species cause several impacts on freshwater biodiversity, but studies focusing on the Neotropical stream’s biota are still incipient. We...
-
Unravelling the ozone toxicity in Zea mays L. (C4 plant) under the elevated level of CO2 fertilization
Enhanced anthropogenic activities affect agricultural production in many ways. An integrated study assessing the combined impact of increased...
-
Soil properties variation in a small-scale altitudinal gradient of an evergreen foothills forest, Ecuadorian Amazon region
The aim of this study was to evaluate variation in the soil physical and chemical properties in a small-scale elevation gradient at 601–1000 m above...
