{"product_id":"computational-intelligence-methods-for-bioinformatics-and-biostatistics-9783031897030","title":"Computational Intelligence Methods for Bioinformatics and Biostatistics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp class=\"MsoNormal\" style=\"mso-layout-grid-align: none; text-autospace: none;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif;\"\u003eBioinformatics.- \u003c\/span\u003e\u003c\/strong\u003e\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif;\"\u003eClustering-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.- \u003cstrong\u003eMedical Informatics.- \u003c\/strong\u003ePrivate, 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.- \u003cstrong\u003eNatural language processing (NLP) and large language models (LLM) for unstructured data in health informatics.- \u003c\/strong\u003eDriver 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.- \u003cstrong\u003eModeling and simulation methods for computational biology and systems medicine.- \u003c\/strong\u003eGene 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.- \u003cstrong\u003eMachine learning for structured data in clinical informatics and medical biology.- \u003c\/strong\u003eForward 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.- \u003cstrong\u003eComputational Intelligence in Personalized Medicine.- \u003c\/strong\u003eGroup 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.- \u003cstrong\u003eComputational Structural Bioinformatics.- \u003c\/strong\u003eESMCrystal : Enhancing Protein Crystallization Prediction through Protein Embeddings.- TARNAS, a TrAnslator for RNA Secondary structure formats.- \u003cstrong\u003eShort papers.- \u003c\/strong\u003eNovel Approaches for Spatially Resolving Gene Responses and Injection Site Localization in Transcriptomic Data.- Deep Learning Approaches for Forensics DNA Profiling: a Replication Study.\u003c\/span\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195471880535,"sku":"9783031897030","price":59.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/computational-intelligence-methods-for-bioinformatics-and-biostatistics-9783031897030","provider":"Book Curl","version":"1.0","type":"link"}