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

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Conference proceedings 2021ction 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..

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0302-9743 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..978-3-030-79289-3978-3-030-79290-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Conference proceedings 2021 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 colle

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0302-9743 0, 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

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https://doi.org/10.1007/978-1-4020-8733-2clustering and ordering single cell transcriptional profiles according to their progression along cell cycle phases. We also introduce a new robust metric, Gene Smoothness Score (GSS) for assessing the cell cycle based order of the cells. SC1CC is available as part of the SC1 web-based scRNA-Seq analysis pipeline, publicly accessible at ..

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Computational Cell Cycle Analysis of Single Cell RNA-Seq Dataclustering and ordering single cell transcriptional profiles according to their progression along cell cycle phases. We also introduce a new robust metric, Gene Smoothness Score (GSS) for assessing the cell cycle based order of the cells. SC1CC is available as part of the SC1 web-based scRNA-Seq analysis pipeline, publicly accessible at ..

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https://doi.org/10.1007/978-3-030-79290-9artificial intelligence; clustering algorithms; clustering methods; computer networks; computer science;

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978-3-030-79289-3Springer Nature Switzerland AG 2021