東華大學圖書館 |

Computational advances in bio and medical sciences = 12th International Conference, ICCABS 2023, Norman, OK, USA, December 11-13, 2023 : revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational advances in bio and medical sciences/ edited by Mukul S. Bansal ... [et al.].
Reminder of title:	12th International Conference, ICCABS 2023, Norman, OK, USA, December 11-13, 2023 : revised selected papers /
remainder title:	ICCABS 2023
other author:	Bansal, Mukul S.
corporate name:	International Conference on Computational Advances in Bio and Medical Sciences
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xiii, 278 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	An Explainable Deep Learning Framework for Mandibular Canal Segmentation from Cone Beam Computed Tomography Volume -- Identification of Chimeric RNAs: A Novel Machine Learning Perspective -- PartialFibers: An Efficient Method for Predicting Drug-Drug Interactions -- Optimizing Deep Learning for Biomedical Imaging -- Exploring a Solution Curve in the Phase Plane for Extreme Firing Rates in the Izhikevich Model -- Cancer and Tissue Prediction Using Mutational Signatures in Highly Mutated Cancers -- On the Hardness of Wildcard Pattern Matching on de Bruijn Graphs -- Plastic: An Easy to use and Modular Tool for Designing Tumor Phylogeny Reconstruction Pipelines -- A 3D Deep Learning Architecture for Denoising Low-Dose CT Scans -- A Simple and Interpretable Deep Learning Model for Diagnosing Pneumonia from Chest X-Ray Images -- FedDP: Secure Federated Learning with Differential Privacy for Disease Prediction -- Computational Tumor Progression Analysis via Seriation based Trajectory Inference -- Multilayer Network Analysis of Brain Signals for Detecting Alzheimer's Disease -- DNA Methylation Based Subtype Classification of Breast Cancer -- Repeated Measures Latent Dirichlet Allocation for Longitudinal Microbiome Analysis -- Improving Disease Comorbidity Prediction with Biologically Supervised Graph Embedding -- Lightweight and Generalizable Model for COVID-19 Detection Using Chest Xray Images -- Decoding Heterogeneity in Quadruple-Negative Breast Cancer: A Data-Driven Clustering Approach -- Determining Temporal Linkages in Dynamic Epidemiological Networks Using the Earth Mover's Distance -- Functional Connectivity Disruptions in Alzheimer's Disease: A Maximum Flow Perspective -- On Multi-Phase Metagenomics Reads Binning -- A Unified Machine Learning Framework for Multi-subtype Tumour Classification across Diverse Datasets -- AFA: Abstract Functional Analysis Identifies New Microglial Subtypes at Single Cell Level in Alzheimer's Disease.
Contained By:	Springer Nature eBook
Subject:	Bioinformatics - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-82768-6
ISBN:	9783031827686

Computational advances in bio and medical sciences = 12th International Conference, ICCABS 2023, Norman, OK, USA, December 11-13, 2023 : revised selected papers /
Computational advances in bio and medical sciences12th International Conference, ICCABS 2023, Norman, OK, USA, December 11-13, 2023 : revised selected papers /[electronic resource] :ICCABS 2023edited by Mukul S. Bansal ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xiii, 278 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,145481611-3349 ;. - Lecture notes in computer science ;14548..

An Explainable Deep Learning Framework for Mandibular Canal Segmentation from Cone Beam Computed Tomography Volume -- Identification of Chimeric RNAs: A Novel Machine Learning Perspective -- PartialFibers: An Efficient Method for Predicting Drug-Drug Interactions -- Optimizing Deep Learning for Biomedical Imaging -- Exploring a Solution Curve in the Phase Plane for Extreme Firing Rates in the Izhikevich Model -- Cancer and Tissue Prediction Using Mutational Signatures in Highly Mutated Cancers -- On the Hardness of Wildcard Pattern Matching on de Bruijn Graphs -- Plastic: An Easy to use and Modular Tool for Designing Tumor Phylogeny Reconstruction Pipelines -- A 3D Deep Learning Architecture for Denoising Low-Dose CT Scans -- A Simple and Interpretable Deep Learning Model for Diagnosing Pneumonia from Chest X-Ray Images -- FedDP: Secure Federated Learning with Differential Privacy for Disease Prediction -- Computational Tumor Progression Analysis via Seriation based Trajectory Inference -- Multilayer Network Analysis of Brain Signals for Detecting Alzheimer's Disease -- DNA Methylation Based Subtype Classification of Breast Cancer -- Repeated Measures Latent Dirichlet Allocation for Longitudinal Microbiome Analysis -- Improving Disease Comorbidity Prediction with Biologically Supervised Graph Embedding -- Lightweight and Generalizable Model for COVID-19 Detection Using Chest Xray Images -- Decoding Heterogeneity in Quadruple-Negative Breast Cancer: A Data-Driven Clustering Approach -- Determining Temporal Linkages in Dynamic Epidemiological Networks Using the Earth Mover's Distance -- Functional Connectivity Disruptions in Alzheimer's Disease: A Maximum Flow Perspective -- On Multi-Phase Metagenomics Reads Binning -- A Unified Machine Learning Framework for Multi-subtype Tumour Classification across Diverse Datasets -- AFA: Abstract Functional Analysis Identifies New Microglial Subtypes at Single Cell Level in Alzheimer's Disease.

This book constitutes the refereed proceedings of the 12th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2023, held in Norman, Oklahoma, USA, during December 11-13, 2023. The 23 full papers included in this book were carefully reviewed and selected from 65 submissions. These papers focus on the recent advances in Computational techniques and applications in the areas of Biology, Medicine, and Drug discovery.

ISBN: 9783031827686

Standard No.: 10.1007/978-3-031-82768-6doiSubjects--Topical Terms:

731254
Bioinformatics
--Congresses.

LC Class. No.: QH324.2

Dewey Class. No.: 570.285

Computational advances in bio and medical sciences = 12th International Conference, ICCABS 2023, Norman, OK, USA, December 11-13, 2023 : revised selected papers /
LDR:03668nmm a2200361 a 4500 001 2408728
003 DE-He213
005 20250220115444.0
006 m d
007 cr nn 008maaau
008 260204s2025 sz s 0 eng d
020 $a 9783031827686 $q (electronic bk.)
020 $a 9783031827679 $q (paper)
024 7 $a 10.1007/978-3-031-82768-6 $2 doi
035 $a 978-3-031-82768-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QH324.2
072 7 $a UB $2 bicssc
072 7 $a COM005000 $2 bisacsh
072 7 $a UX $2 thema
082 0 4 $a 570.285 $2 23
090 $a QH324.2 $b .I61 2023
111 2 $a International Conference on Computational Advances in Bio and Medical Sciences $n (12th : $d 2023 : $c Norman, Okla.) $3 3781472
245 1 0 $a Computational advances in bio and medical sciences $h [electronic resource] : $b 12th International Conference, ICCABS 2023, Norman, OK, USA, December 11-13, 2023 : revised selected papers / $c edited by Mukul S. Bansal ... [et al.].
246 3 $a ICCABS 2023
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xiii, 278 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 1611-3349 ; $v 14548
490 1 $a Lecture notes in bioinformatics
505 0 $a An Explainable Deep Learning Framework for Mandibular Canal Segmentation from Cone Beam Computed Tomography Volume -- Identification of Chimeric RNAs: A Novel Machine Learning Perspective -- PartialFibers: An Efficient Method for Predicting Drug-Drug Interactions -- Optimizing Deep Learning for Biomedical Imaging -- Exploring a Solution Curve in the Phase Plane for Extreme Firing Rates in the Izhikevich Model -- Cancer and Tissue Prediction Using Mutational Signatures in Highly Mutated Cancers -- On the Hardness of Wildcard Pattern Matching on de Bruijn Graphs -- Plastic: An Easy to use and Modular Tool for Designing Tumor Phylogeny Reconstruction Pipelines -- A 3D Deep Learning Architecture for Denoising Low-Dose CT Scans -- A Simple and Interpretable Deep Learning Model for Diagnosing Pneumonia from Chest X-Ray Images -- FedDP: Secure Federated Learning with Differential Privacy for Disease Prediction -- Computational Tumor Progression Analysis via Seriation based Trajectory Inference -- Multilayer Network Analysis of Brain Signals for Detecting Alzheimer's Disease -- DNA Methylation Based Subtype Classification of Breast Cancer -- Repeated Measures Latent Dirichlet Allocation for Longitudinal Microbiome Analysis -- Improving Disease Comorbidity Prediction with Biologically Supervised Graph Embedding -- Lightweight and Generalizable Model for COVID-19 Detection Using Chest Xray Images -- Decoding Heterogeneity in Quadruple-Negative Breast Cancer: A Data-Driven Clustering Approach -- Determining Temporal Linkages in Dynamic Epidemiological Networks Using the Earth Mover's Distance -- Functional Connectivity Disruptions in Alzheimer's Disease: A Maximum Flow Perspective -- On Multi-Phase Metagenomics Reads Binning -- A Unified Machine Learning Framework for Multi-subtype Tumour Classification across Diverse Datasets -- AFA: Abstract Functional Analysis Identifies New Microglial Subtypes at Single Cell Level in Alzheimer's Disease.
520 $a This book constitutes the refereed proceedings of the 12th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2023, held in Norman, Oklahoma, USA, during December 11-13, 2023. The 23 full papers included in this book were carefully reviewed and selected from 65 submissions. These papers focus on the recent advances in Computational techniques and applications in the areas of Biology, Medicine, and Drug discovery.
650 0 $a Bioinformatics $x Congresses. $3 731254
650 0 $a Medical informatics $v Congresses. $3 590642
650 1 4 $a Computer and Information Systems Applications. $3 3538505
650 2 4 $a Special Purpose and Application-Based Systems. $3 892492
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
650 2 4 $a Machine Learning. $3 3382522
700 1 $a Bansal, Mukul S. $3 3607240
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 14548. $3 3781473
830 0 $a Lecture notes in bioinformatics. $3 3382603
856 4 0 $u https://doi.org/10.1007/978-3-031-82768-6
950 $a Computer Science (SpringerNature-11645)