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iMetaOmics, EarlyView.MicrobTiSDA is a user‐friendly and flexible R package specifically designed for longitudinal microbiome data analysis. By integrating process‐oriented functional modules—including data input, data preprocessing, interspecies interaction inference, natural spline regression modeling, temporal pattern clustering, and random forest classification ...
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Utilizing deep learning models for early detection and classification of fruit diseases: towards sustainable agriculture and enhanced food quality. [PDF]
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Frost fighters: The discovery of a tripartite molecular module that confers cold stress tolerance in apple. [PDF]
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Phenolic compounds and multifunctional properties of thinned apples: revalorizing fruit by-products for industrial applications. [PDF]
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Haplotype-resolved chromosome-level genome assemblies of nineteen apple (Malus domestica Borkh.) cultivars. [PDF]
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Efficacy of Chlorine, QAC, and UV-C Light Against Listeria monocytogenes Biofilms on Food Contact Surfaces. [PDF]
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