Search
Search Results
-
Lipidomics random forest algorithm of seminal plasma is a promising method for enhancing the diagnosis of necrozoospermia
BackgroundDespite the clear clinical diagnostic criteria for necrozoospermia in andrology, the fundamental mechanisms underlying it remain elusive....
-
Extended automated quantification algorithm (AQuA) for targeted 1H NMR metabolomics of highly complex samples: application to plant root exudates
IntroductionThe Automated Quantification Algorithm (AQuA) is a rapid and efficient method for targeted NMR-based metabolomics, currently optimised...
-
Evaluation of afforestations for avalanche protection with orthoimages using the random forest algorithm
Afforestations provide cost-effective and environmentally friendly protection against natural hazards, compared to technical measures. In Austria,...
-
Evaluation model of ecological economic benefits based on discrete mathematical algorithm
In this this paper, an evaluation index system was constructed to standardize the evaluation index of ecological economic benefit considering the...
-
Northeast China holds huge wetland soil organic carbon storage: an estimation from 819 soil profiles and random forest algorithm
PurposeAs a huge natural carbon storage, wetlands play an important role in the global carbon cycle. However, the spatial pattern and storage of soil...
-
An electron counting algorithm improves imaging of proteins with low-acceleration-voltage cryo-electron microscope
Relative to the 300-kV accelerating field, electrons accelerated under lower voltages are potentially scattered more strongly. Lowering the...
-
Space-time clustering of seismic events in Chile using ST-DBSCAN-EV algorithm
Chile is one of the most seismic countries in the world especially due to the subduction of the Nazca plate under the South America plate along the...
-
GLUE algorithm capability in estimating the van Genuchten soil–water characteristic parameters and their uncertainties
Uncertainty in the model’s structure, parameters, and input data can be viewed as the three primary sources of hydrological models failure; hence,...
-
An algorithm to estimate the real time secondary infections in sub-urban bus travel: COVID-19 epidemic experience at Chennai Metropolitan city India
Globalization, global climatic changes, and human behavior pose threats to highly pathogenic avian influenza (HPAI) virus spillover from animals to...
-
MeShClust v3.0: high-quality clustering of DNA sequences using the mean shift algorithm and alignment-free identity scores
BackgroundTools for accurately clustering biological sequences are among the most important tools in computational biology. Two pioneering tools for...
-
A novel nonlinear time-varying sigmoid transfer function in binary whale optimization algorithm for descriptors selection in drug classification
In computational chemistry, the high-dimensional molecular descriptors contribute to the curse of dimensionality issue. Binary whale optimization...
-
Chemoinformatics-driven classification of Angiosperms using sulfur-containing compounds and machine learning algorithm
BackgroundPhytochemicals or secondary metabolites are low molecular weight organic compounds with little function in plant growth and development....
-
Soil Respiration Variability: Contributions of Space and Time Estimated Using the Random Forest Algorithm
AbstractSoil respiration modeling (i.e., simulation of carbon dioxide emissions from the soil surface) makes it possible to analyze and forecast...
-
Characterization of tropical forests at community level: combining spectral, phenological, structural datasets using random forest algorithm
Since the inception of satellite remote sensing as a technology, characterization of forests has been one of its major applications. Characterization...
-
Probability analysis of pheromone trap** for olive moths, Prays oleae Bern. (Lepidoptera: Yponomeutidae) and a regional decision-making algorithm for spraying for fruit generation
This study designed an algorithm for regional optimum spray timing to prevent damage to olive trees by the olive moth ( Prays oleae Bern), which is...
-
Metacell-2: a divide-and-conquer metacell algorithm for scalable scRNA-seq analysis
Scaling scRNA-seq to profile millions of cells is crucial for constructing high-resolution maps of transcriptional manifolds. Current analysis...
-
A fast and efficient path elimination algorithm for large-scale multiple common longest sequence problems
BackgroundIn various fields, searching for the Longest Common Subsequences (LCS) of Multiple (i.e., three or more) sequences (MLCS) is a classic but...
-
Map** the spatial distribution of aboveground biomass of tea agroforestry systems using random forest algorithm in Barak valley, Northeast India
The tea agroforestry system has great economic potential by supporting livelihood and food security while advancing ecological services by...
-
Chord: an ensemble machine learning algorithm to identify doublets in single-cell RNA sequencing data
High-throughput single-cell RNA sequencing (scRNA-seq) is a popular method, but it is accompanied by doublet rate problems that disturb the...
-
Segmentation algorithm can be used for detecting hepatic fibrosis in SD rat
BackgroundLiver fibrosis is an early stage of liver cirrhosis. As a reversible lesion before cirrhosis, liver failure, and liver cancer, it has been...
