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

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

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

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

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Learning the Regulatory Code of Gene Expression

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