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Minimization of occurrence of retained surgical items using machine learning and deep learning techniques: a review
Retained surgical items (RSIs) pose significant risks to patients and healthcare professionals, prompting extensive efforts to reduce their...
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PMF-GRN: a variational inference approach to single-cell gene regulatory network inference using probabilistic matrix factorization
Inferring gene regulatory networks (GRNs) from single-cell data is challenging due to heuristic limitations. Existing methods also lack estimates of...
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Dialogue as a tool of nutrition literacy in an agricultural intervention programme in Odisha, India
BackgroundAn ongoing action research nutrition literacy programme based on Freire’s approach of raising critical consciousness through the use of...
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Machine learning methods for assessing photosynthetic activity: environmental monitoring applications
Monitoring of the photosynthetic activity of natural and artificial biocenoses is of crucial importance. Photosynthesis is the basis for the...
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Approaches of Single-Cell Analysis in Crop Improvement
Single-cell multiomics approaches have the potential to maximize the scientific impact on crop improvement. These technologies have become...
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iMOKA: k-mer based software to analyze large collections of sequencing data
iMOKA (interactive multi-objective k -mer analysis) is a software that enables comprehensive analysis of sequencing data from large cohorts to...
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Lineage recording in human cerebral organoids
Induced pluripotent stem cell (iPSC)-derived organoids provide models to study human organ development. Single-cell transcriptomics enable highly...
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Panx1 channels promote both anti- and pro-seizure-like activities in the zebrafish via p2rx7 receptors and ATP signaling
The molecular mechanisms of excitation/inhibition imbalances promoting seizure generation in epilepsy patients are not fully understood. Evidence...
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Recent advances in the application of deep learning methods to forestry
This paper provides an overview and analysis of the basic theory of deep learning (DL), and specifically, a number of important algorithms were...
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New software tools, databases, and resources in metabolomics: updates from 2020
BackgroundPrecision medicine, space exploration, drug discovery to characterization of dark chemical space of habitats and organisms, metabolomics...
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Step-by-Step Guide to Building a Diagnostic Model Using MetaboAnalyst
MetaboAnalyst is an online platform for analyzing and interpreting metabolomics data. Its creators, researchers Jianguo **a and David Wishart, have...
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Advanced Learning and Classification Techniques for Agricultural and Field Robotics
Today, increasingly a large number of growers are utilizing smart agricultural tools as a daily part of their precision agricultural strategy to...
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Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits
Here, we performed a comprehensive intra-tissue and inter-tissue multilayer network analysis of the human transcriptome. We generated an atlas of...
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The fungal root endophyte Serendipita vermifera displays inter-kingdom synergistic beneficial effects with the microbiota in Arabidopsis thaliana and barley
Plant root-associated bacteria can confer protection against pathogen infection. By contrast, the beneficial effects of root endophytic fungi and...
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Masakari: visualization supported statistical analysis of genome segmentations
BackgroundIn epigenetics, the change of the combination of histone modifications at the same genomic location during cell differentiation is of great...
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Applications of Community Detection Algorithms to Large Biological Datasets
Recent advances in data acquiring technologies in biology have led to major challenges in mining relevant information from large datasets. For...
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Metabolomics in Rice Improvement
Metabolomics is the analysis of micro-biomolecules related to the metabolic processes of a living organism. It has a strong connection between the...