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jha s computational advances bio medical sciences 2021

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Textbook in PDF format This book constitutes the proceedings of the 10th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2020, held in December 2020. Due to COVID-19 pandemic the conference was held virtually. The 6 regular and 5 invited papers presented in this book were carefully reviewed and selected from 16 submissions. The use of high throughput technologies is fundamentally changing the life sciences and leading to the collection of large amounts of biological and medical data. The papers show how the use of this data can help expand our knowledge of fundamental biological processes and improve human health - using novel computational models and advanced analysis algorithms. Preface Organization Computational Advances in Bio and Medical Sciences DNA Read Feature Importance Using Machine Learning for Read Alignment Categories MetaProb 2: Improving Unsupervised Metagenomic Binning with Efficient Reads Assembly Using Minimizers Computational Study of Action Potential Generation in Urethral Smooth Muscle Cell Metabolic Pathway Prediction using Non-negative Matrix Factorization with Improved Precision A Novel Pathway Network Analytics Method Based on Graph Theory Latent Variable Modelling and Variational Inference for scRNA-seq Differential Expression Analysis Computational Advances for Single-Cell Omics Data Analysis Computational Cell Cycle Analysis of Single Cell RNA-Seq Data Single-Cell Gene Regulatory Network Analysis Reveals Potential Mechanisms of Action of Antimalarials Against SARS-CoV-2 Computational Advances for Next Generation Sequencing RACCROCHE: Ancestral Flowering Plant Chromosomes and Gene Orders Based on Generalized Adjacencies and Chromosomal Gene Co-occurrences A Fast Word Embedding Based Classifier to Profile Target Gene Databases in Metagenomic Samples Clustering Based Identification of SARS-CoV-2 Subtypes Author Index

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jha s computational advances bio medical sciences 2021

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