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Titlebook: Bioinformatics and Biomedical Engineering; 11th International C Ignacio Rojas,Francisco Ortuño,Olga Valenzuela Conference proceedings 2024

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Towards a Computational Approach to Quantification of Allele Specific Expression at Population Levelvidual. Next-generation sequencing (NGS) technologies give the possibility to measure ASE of all the genes of a species in a population of individuals through RNA-sequencing (RNA-seq). ASE is usually reported only as a relative measure for individual genotypes. The ratio between the number of aligne
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A Transfer Learning-Based Approach to Unveil Kinase-Specific Phosphorylation Sites of Understudied Kific phosphorylation sites for kinases. Existing studies have proposed kinase-specific phosphorylation site prediction tools, primarily focusing on kinases with a sufficient number of experimentally validated phosphorylation sites. Nevertheless, the majority of kinases lack such experimental data or
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AE-Obi-LSTM: An Efficient IOT Wearable Devices for Cardiovascular Disease Prediction. The factors that are affecting the CVD are high blood pressure, family history, age, stress, gender, body mass index and unhealthy lifestyle. There are several approaches are done by various researchers to predict the disease, but the former approach required certain improvement to predict the CVD
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Bioinformatics-Based Analysis Provides a Deeper Understanding of How MicroRNAs Control Transcriptionrchitis and oophoritis that can arise in males and females, respectively. We have used computational tools: RNA22, and miRanda to predict the microRNA-mRNA binding sites to find the putative microRNAs playing role in the host response to mumps virus infection. Our computational studies indicate that
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