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Machine learning enables identification of an alternative yeast galactose utilization pathway

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Chemical imaging for biological systems: techniques, AI-driven processing, and applications

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UTRGAN: learning to generate 5′ UTR sequences for optimized translation efficiency and gene expression

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Transcriptional regulation in plants: Using omics data to crack the cis-regulatory code

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Precise engineering of gene expression by editing plasticity

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Unveiling the frontiers of deep learning: Innovations shaping diverse domains

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DeepCBA: A deep learning framework for gene expression prediction in maize based on DNA sequences and chromatin interactions

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Programmed versus non-programmed evolution of aging. What is the evidence?

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Synthetic Biology of Plants and Microbes for Agriculture, Environment, and Future Applications

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Prediction of strain engineerings that amplify recombinant protein secretion through the machine learning approach MaLPHAS

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High-Dimensional Single-Cell Transcriptomics in Melanoma and Cancer Immunotherapy

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The Expanding Computational Toolbox for Engineering Microbial Phenotypes at the Genome Scale

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Performance of Regression Models as a Function of Experiment Noise

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Frontiers and techniques in plant gene regulation

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Transgressive and parental dominant gene expression and cytosine methylation during seed development in Brassica napus hybrids

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State of the Art Technologies for High Yield Heterologous Expression and Production of Oxidoreductase Enzymes: Glucose Oxidase, Cellobiose Dehydrogenase, Horseradish Peroxidase, and Laccases in Yeasts P. pastoris and S. cerevisiae

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EPInformer: A Scalable Deep Learning Framework for Gene Expression Prediction by Integrating Promoter-enhancer Sequences with Multimodal Epigenomic DataPreprint

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Predicting gene expression state and prioritizing putative enhancers using 5hmC signal

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Massively integrated coexpression analysis reveals transcriptional regulation, evolution and cellular implications of the yeast noncanonical translatome

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Chromatin enables precise and scalable gene regulation with factors of limited specificity

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Intelligent host engineering for metabolic flux optimisation in biotechnology

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Multigene engineering in plants: Technologies, applications, and future prospects

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Advances in promoter engineering strategies for enhanced recombinant protein expression in plants

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DeePromClass: Delineator for Eukaryotic Core Promoters Employing Deep Neural Networks

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Interpretable deep residual network uncovers nucleosome positioning and associated features

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The effect of product design on recycling efficiency of lithium-ion batteries through structural equation modeling and life cycle assessment

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FUN-PROSE: A deep learning approach to predict condition-specific gene expression in fungi

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Codes across (life)sciences

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In silico prediction of variant effects: promises and limitations for precision plant breeding

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A Genetic Algorithm-Based Ensemble Learning Framework for Drug Combination Prediction

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Plant Synthetic Promoters

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Cutting-edge deep-learning based tools for metagenomic research

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Generation of Realistic Gene Regulatory Networks by Enriching for Feed-Forward Loops

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Assessing comparative importance of DNA sequence and epigenetic modifications on gene expression using a deep convolutional neural network

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Feasibility of predicting allele specific expression from DNA sequencing using machine learning

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Toward learning the principles of plant gene regulation

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Machine learning applications for transcription level and phenotype predictions

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Deep Learning for Lung Cancer Nodal Staging and Real-World Clinical Practice

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Predicting cold-stress responsive genes in cotton with machine learning models

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ADVANCING THE UNDERSTANDING OF CLINICAL SEPSIS USING GENE EXPRESSION–DRIVEN MACHINE LEARNING TO IMPROVE PATIENT OUTCOMES

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Heuristic Analysis of Genomic Sequence Processing Models for High Efficiency Prediction: A Statistical Perspective

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Sequence-based modelling of bacterial genomes enables accurate antibiotic resistance predictionPreprint

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Toward Identification of Functional Sequences and Variants in Noncoding DNA

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MalariaSED: a deep learning framework to decipher the regulatory contributions of noncoding variants in malaria parasites

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Characterization and optimization of 5´ untranslated region containing poly-adenine tracts in Kluyveromyces marxianus using machine-learning model

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Learning the Regulatory Code of Gene Expression

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