國立高雄大學圖資館 |

Computational intelligence methods for bioinformatics and biostatistics19th International Meeting, CIBB 2024, Benevento, Italy, September 4-6, 2024 : revised selected papers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational intelligence methods for bioinformatics and biostatisticsedited by Luigi Cerulo ... [et al.].
其他題名:	19th International Meeting, CIBB 2024, Benevento, Italy, September 4-6, 2024 : revised selected papers /
其他題名:	CIBB 2024
其他作者:	Cerulo, Luigi.
團體作者:
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	xx, 328 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Computational intelligenceCongresses.
電子資源:	https://doi.org/10.1007/978-3-031-89704-7
ISBN:	9783031897047$q(electronic bk.)

Computational intelligence methods for bioinformatics and biostatistics19th International Meeting, CIBB 2024, Benevento, Italy, September 4-6, 2024 : revised selected papers /
Computational intelligence methods for bioinformatics and biostatistics19th International Meeting, CIBB 2024, Benevento, Italy, September 4-6, 2024 : revised selected papers /[electronic resource] :CIBB 2024edited by Luigi Cerulo ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xx, 328 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,152761611-3349 ;. - Lecture notes in computer science ;4891..

Bioinformatics -- Clustering-based Negative Sampling Approaches for Protein-Protein Interaction Prediction -- Proteins transcription factor prediction using Graph Neural Networks -- Identification of Differential Alternative Splicing Events: Assessing Tools Performance with Different Sequencing Parameters -- Methods and tools to facilitate RE:IN modeling and analysis of GRNs -- Gene set-focused analysis of RNA-seq data with MIEP (Make-It-Easy-Pipeline) -- Cross sequencing integration of compositional microbiome data in cancer -- Medical Informatics -- Private, Efficient and Scalable Kernel Learning for Medical Image Analysis -- Toward a Unified Graph-Based Representation of Medical Data for Precision Oncology Medicine -- FP-Elegans M1: feature pyramid reservoir connectome transformers and multi-backbone feature extractors for MEDMNIST2D-V2 -- Natural language processing (NLP) and large language models (LLM) for unstructured data in health informatics -- Driver Gene Detection via Causal Inference on Single Cell Embeddings -- Assessing and Comparing Free Large Language Models' Responses to a Clinical Case: Accuracy, Safety, and Reliability -- Three-stage Data Science methodology to explore genetic heterogeneity of diseases -- Functional data analysis and clustering of haematological parameters in SARS-CoV-2 patients -- Modeling and simulation methods for computational biology and systems medicine -- Gene set optimization for single cell transcriptomics -- MicroRNAs as biomarkers for Ulcerative Colitis -- PHeP: TrustAlert Open-Source Platform for Enhancing Predictive Healthcare with Deep Learning -- Cutting Slices of Complexity in Cancer Therapy Design: An Agent-Based Model of Dabrafenib in Melanoma -- Machine learning for structured data in clinical informatics and medical biology -- Forward and backward feature selection guided by prior biological knowledge for enhanced interpretability -- The impact of mis-labeled artefacts on deep learning models for EEG analysis: a case study -- Benchmark study on supervised Relevance-Redundancy assessment for feature selection in genomic data -- Computational Intelligence in Personalized Medicine -- Group discovery in a clinical database of patients with psychosis who have undergone Metacognitive Training -- Hierarchical Clustering with an Ensemble of Principle Component Trees for Interpretable Patient Stratification -- Computational Structural Bioinformatics -- ESMCrystal : Enhancing Protein Crystallization Prediction through Protein Embeddings -- TARNAS, a TrAnslator for RNA Secondary structure formats -- Short papers -- Novel Approaches for Spatially Resolving Gene Responses and Injection Site Localization in Transcriptomic Data -- Deep Learning Approaches for Forensics DNA Profiling: a Replication Study.

This volume LNCS 15276 constitutes the revised selected papers of the 19th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2024, held in Benevento, Italy, during September 4-6, 2024. The 24 full papers and 3 short papers were carefully reviewed and selected from 28 submissions. They were organized in the following topical sections: Bioinformatics; Medical Informatics; Natural Language Processing (NLP) and Large Language Models (LLM) for Unstructured Data in Health Informatics; Modeling and Simulation Methods for Computational Biology and Systems Medicine; Machine Learning for Structured Data in Clinical Informatics and Medical Biology; Computational Intelligence in Personalized Medicine; and Computational Structural Bioinformatics.

ISBN: 9783031897047$q(electronic bk.)

Standard No.: 10.1007/978-3-031-89704-7doiSubjects--Topical Terms:

384502
Computational intelligence
--Congresses.

LC Class. No.: QH324.2

Dewey Class. No.: 570.285

Computational intelligence methods for bioinformatics and biostatistics19th International Meeting, CIBB 2024, Benevento, Italy, September 4-6, 2024 : revised selected papers /
LDR:04882nmm a2200373 a 4500 001 677568
003 DE-He213
005 20250515130315.0
006 m d
007 cr nn 008maaau
008 251021s2025 sz s 0 eng d
020 $a 9783031897047$q(electronic bk.)
020 $a 9783031897030$q(paper)
024 7 $a 10.1007/978-3-031-89704-7 $2 doi
035 $a 978-3-031-89704-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QH324.2
072 7 $a UY $2 bicssc
072 7 $a PS $2 bicssc
072 7 $a COM082000 $2 bisacsh
072 7 $a PSAX $2 thema
082 0 4 $a 570.285 $2 23
090 $a QH324.2 $b .C567 2024
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Computational intelligence methods for bioinformatics and biostatistics $h [electronic resource] : $b 19th International Meeting, CIBB 2024, Benevento, Italy, September 4-6, 2024 : revised selected papers / $c edited by Luigi Cerulo ... [et al.].
246 3 $a CIBB 2024
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xx, 328 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 1611-3349 ; $v 15276
490 1 $a Lecture notes in bioinformatics
505 0 $a Bioinformatics -- Clustering-based Negative Sampling Approaches for Protein-Protein Interaction Prediction -- Proteins transcription factor prediction using Graph Neural Networks -- Identification of Differential Alternative Splicing Events: Assessing Tools Performance with Different Sequencing Parameters -- Methods and tools to facilitate RE:IN modeling and analysis of GRNs -- Gene set-focused analysis of RNA-seq data with MIEP (Make-It-Easy-Pipeline) -- Cross sequencing integration of compositional microbiome data in cancer -- Medical Informatics -- Private, Efficient and Scalable Kernel Learning for Medical Image Analysis -- Toward a Unified Graph-Based Representation of Medical Data for Precision Oncology Medicine -- FP-Elegans M1: feature pyramid reservoir connectome transformers and multi-backbone feature extractors for MEDMNIST2D-V2 -- Natural language processing (NLP) and large language models (LLM) for unstructured data in health informatics -- Driver Gene Detection via Causal Inference on Single Cell Embeddings -- Assessing and Comparing Free Large Language Models' Responses to a Clinical Case: Accuracy, Safety, and Reliability -- Three-stage Data Science methodology to explore genetic heterogeneity of diseases -- Functional data analysis and clustering of haematological parameters in SARS-CoV-2 patients -- Modeling and simulation methods for computational biology and systems medicine -- Gene set optimization for single cell transcriptomics -- MicroRNAs as biomarkers for Ulcerative Colitis -- PHeP: TrustAlert Open-Source Platform for Enhancing Predictive Healthcare with Deep Learning -- Cutting Slices of Complexity in Cancer Therapy Design: An Agent-Based Model of Dabrafenib in Melanoma -- Machine learning for structured data in clinical informatics and medical biology -- Forward and backward feature selection guided by prior biological knowledge for enhanced interpretability -- The impact of mis-labeled artefacts on deep learning models for EEG analysis: a case study -- Benchmark study on supervised Relevance-Redundancy assessment for feature selection in genomic data -- Computational Intelligence in Personalized Medicine -- Group discovery in a clinical database of patients with psychosis who have undergone Metacognitive Training -- Hierarchical Clustering with an Ensemble of Principle Component Trees for Interpretable Patient Stratification -- Computational Structural Bioinformatics -- ESMCrystal : Enhancing Protein Crystallization Prediction through Protein Embeddings -- TARNAS, a TrAnslator for RNA Secondary structure formats -- Short papers -- Novel Approaches for Spatially Resolving Gene Responses and Injection Site Localization in Transcriptomic Data -- Deep Learning Approaches for Forensics DNA Profiling: a Replication Study.
520 $a This volume LNCS 15276 constitutes the revised selected papers of the 19th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2024, held in Benevento, Italy, during September 4-6, 2024. The 24 full papers and 3 short papers were carefully reviewed and selected from 28 submissions. They were organized in the following topical sections: Bioinformatics; Medical Informatics; Natural Language Processing (NLP) and Large Language Models (LLM) for Unstructured Data in Health Informatics; Modeling and Simulation Methods for Computational Biology and Systems Medicine; Machine Learning for Structured Data in Clinical Informatics and Medical Biology; Computational Intelligence in Personalized Medicine; and Computational Structural Bioinformatics.
650 0 $a Computational intelligence $v Congresses. $3 384502
650 0 $a Bioinformatics $3 252566
650 0 $a Biometry $3 318423
650 1 4 $a Bioinformatics. $3 194415
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Signal, Speech and Image Processing. $3 919570
650 2 4 $a Computer Communication Networks. $3 218087
650 2 4 $a Machine Learning. $3 833608
650 2 4 $a Computer Application in Social and Behavioral Sciences. $3 913134
700 1 $a Cerulo, Luigi. $3 991076
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
830 0 $a Lecture notes in bioinformatics. $3 822007
856 4 0 $u https://doi.org/10.1007/978-3-031-89704-7
950 $a Computer Science (SpringerNature-11645)