Titlebook: Computational Advances in Bio and Medical Sciences; 10th International C Sumit Kumar Jha,Ion Măndoiu,Alex Zelikovsky Conference proceedings

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书目名称Computational Advances in Bio and Medical Sciences影响因子(影响力)




书目名称Computational Advances in Bio and Medical Sciences影响因子(影响力)学科排名




书目名称Computational Advances in Bio and Medical Sciences网络公开度




书目名称Computational Advances in Bio and Medical Sciences网络公开度学科排名




书目名称Computational Advances in Bio and Medical Sciences被引频次




书目名称Computational Advances in Bio and Medical Sciences被引频次学科排名




书目名称Computational Advances in Bio and Medical Sciences年度引用




书目名称Computational Advances in Bio and Medical Sciences年度引用学科排名




书目名称Computational Advances in Bio and Medical Sciences读者反馈




书目名称Computational Advances in Bio and Medical Sciences读者反馈学科排名

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Computational Study of Action Potential Generation in Urethral Smooth Muscle Cellto stress urinary incontinence by generating spontaneous mechanical and electrical activities. It generates spontaneous electrical events in the terms of membrane depolarization and action potentials. Therefore, a complete understanding of the urethral smooth muscle cell’s spontaneous action potenti

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Metabolic Pathway Prediction using Non-negative Matrix Factorization with Improved Precisiony and completion. However, several challenges including pathway features engineering, multiple mapping of enzymatic reactions and emergent or distributed metabolism within populations or communities of cells can limit prediction performance. In this paper, we present triUMPF, .ple non-negative matri

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A Novel Pathway Network Analytics Method Based on Graph Theoryexample, by controlling metabolite synthesis or by regulating the expression of sets of genes. They play a key role in advanced studies of genomics. However, existing pathway analytics methods are inadequate to extract meaningful biological structure underneath the network of pathways. They also lac

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: Ancestral Flowering Plant Chromosomes and Gene Orders Based on Generalized Adjacencies and Chromos difficult by the cycles of whole genome doubling followed by fractionation in plant lineages. Fractionation scrambles the gene adjacencies that enable existing reconstruction methods. We propose an alternative approach that postpones the selection of gene adjacencies for reconstructing small ancest

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