LEADER 05316nam 22007815 450 001 9910983315503321 005 20250220115444.0 010 $a9783031827686 010 $a3031827686 024 7 $a10.1007/978-3-031-82768-6 035 $a(MiAaPQ)EBC31915061 035 $a(Au-PeEL)EBL31915061 035 $a(CKB)37663515700041 035 $a(DE-He213)978-3-031-82768-6 035 $a(OCoLC)1503841168 035 $a(EXLCZ)9937663515700041 100 $a20250220d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Advances in Bio and Medical Sciences $e12th International Conference, ICCABS 2023, Norman, OK, USA, December 11?13, 2023, Revised Selected Papers /$fedited by Mukul S. Bansal, Wei Chen, Yury Khudyakov, Ion I. M?ndoiu, Marmar R. Moussa, Murray Patterson, Sanguthevar Rajasekaran, Pavel Skums, Sharma V. Thankachan, Alexander Zelikovsky 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (439 pages) 225 1 $aLecture Notes in Bioinformatics,$x2366-6331 ;$v14548 311 08$a9783031827679 311 08$a3031827678 327 $aAn 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. 330 $aThis book constitutes the refereed proceedings of the 12th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2023, held in Norman, Oklahoma, USA, during December 11?13, 2023. The 23 full papers included in this book were carefully reviewed and selected from 65 submissions. These papers focus on the recent advances in Computational techniques and applications in the areas of Biology, Medicine, and Drug discovery. 410 0$aLecture Notes in Bioinformatics,$x2366-6331 ;$v14548 606 $aApplication software 606 $aComputers, Special purpose 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aMachine learning 606 $aComputer and Information Systems Applications 606 $aSpecial Purpose and Application-Based Systems 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aMachine Learning 615 0$aApplication software. 615 0$aComputers, Special purpose. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aMachine learning. 615 14$aComputer and Information Systems Applications. 615 24$aSpecial Purpose and Application-Based Systems. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aMachine Learning. 676 $a005.3 700 $aBansal$b Mukul S$01784734 701 $aChen$b Wei$0636150 701 $aKhudyakov$b Yury E$01802526 701 $aMa?ndoiu$b Ion$00 701 $aMoussa$b Marmar R$01784737 701 $aPatterson$b M. G$01431749 701 $aRajasekaran$b Sanguthevar$056930 701 $aSkums$b Pavel$01784738 701 $aThankachan$b Sharma V$01784739 701 $aZelikovsky$b Alexander$0919949 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983315503321 996 $aComputational Advances in Bio and Medical Sciences$94348495 997 $aUNINA