Computational Intelligence Methods for Bioinformatics and Biostatistics : 19th International Meeting, CIBB 2024, Benevento, Italy, September 4–6, 2024, Revised Selected Papers / edited by Luigi Cerulo, Francesco Napolitano, Francesco Bardozzo, Lu Cheng, Annalisa Occhipinti, Stefano M. Pagnotta.

Format:

Book

Contributor:

Cerulo, Luigi., Editor.

Napolitano, Francesco, Editor.

Bardozzo, Francesco., Editor.

Cheng, Lu., Editor.

Occhipinti, Annalisa., Editor.

Pagnotta, Stefano M., Editor.

Series:

Lecture Notes in Bioinformatics, 2366-6331 ; 15276

Language:

English

Subjects (All):

Bioinformatics.

Data mining.

Signal processing.

Computer networks.

Machine learning.

Social sciences--Data processing.

Social sciences.

Data Mining and Knowledge Discovery.

Signal, Speech and Image Processing.

Computer Communication Networks.

Machine Learning.

Computer Application in Social and Behavioral Sciences.

Local Subjects:

Bioinformatics.

Data Mining and Knowledge Discovery.

Signal, Speech and Image Processing.

Computer Communication Networks.

Machine Learning.

Computer Application in Social and Behavioral Sciences.

Physical Description:

1 online resource (XX, 328 p. 102 illus., 100 illus. in color.)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

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.

Contents:

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-031-89704-8

OCLC:

1524425207