the proceedings contain 29 papers. the topics discussed include: a new framework for co-clustering of gene expression data;biclustering of expression microarray data using affinity propagation;a two-way Bayesianmixtur...
ISBN:
(纸本)9783642248542
the proceedings contain 29 papers. the topics discussed include: a new framework for co-clustering of gene expression data;biclustering of expression microarray data using affinity propagation;a two-way Bayesianmixture model for clustering in metagenomics;new gene subset selection approaches based on linear separating genes and gene-pairs;identification of biomarkers for prostate cancer prognosis using a novel two-step cluster analysis;renal cancer cell classification using generative embeddings and information theoretic kernels;integration of epigenetic data in Bayesian network modeling of gene regulatory network;metabolic pathway inference from time series data: a non iterative approach;highlighting metabolic strategies using network analysis over strain optimization results;and wrapper- and ensemble-based feature subset selection methods for biomarker discovery in targeted metabolomics.
this book constitutes the refereed proceedings of the 8thiaprinternationalconference on patternrecognition in bioinformatics, PRIB 2014, held in Stockholm, Sweden in August 2014. the 9 revised full papers and 9 re...
ISBN:
(数字)9783319091921
ISBN:
(纸本)9783319091914;9783319091921
this book constitutes the refereed proceedings of the 8thiaprinternationalconference on patternrecognition in bioinformatics, PRIB 2014, held in Stockholm, Sweden in August 2014. the 9 revised full papers and 9 revised short papers presented were carefully reviewed and selected from 29 submissions. the focus of the conference was on the latest Research in patternrecognition and Computational Intelligence-Based Techniques Applied to Problems in bioinformatics and Computational Biology.
the proceedings contain 24 papers. the topics discussed include: robust community detection methods with resolution parameter for complex detection in protein-protein interaction networks;machine learning scoring func...
ISBN:
(纸本)9783642341229
the proceedings contain 24 papers. the topics discussed include: robust community detection methods with resolution parameter for complex detection in protein-protein interaction networks;machine learning scoring functions based on random forest and support vector regression;multiple tree alignment with weights applied to carbohydrates to extract binding recognitionpatterns;improving the portability and performance of *** - a dynamic RNA visualization software;a novel machine learning approach for detecting the brain abnormalities from MRI structural images;an algorithm to assemble gene-protein-reaction associations for genome-scale metabolic model reconstruction;a machine learning and chemometrics assisted interpretation of spectroscopic data - a NMR-based metabolomics platform for the assessment of Brazilian Propolis;and application of the multi-modal relevance vector machine to the problem of protein secondary structure prediction.
this book constitutes the refereed proceedings of the 8thiaprinternationalconference on patternrecognition in bioinformatics, PRIB 2013, held in Nice, France, in June 2013. the 25 revised full papers presented wer...
ISBN:
(纸本)9783642391606
this book constitutes the refereed proceedings of the 8thiaprinternationalconference on patternrecognition in bioinformatics, PRIB 2013, held in Nice, France, in June 2013. the 25 revised full papers presented were carefully reviewed and selected from 43 submissions. the papers are organized in topical sections on bio-molecular networks and pathway analysis; learning, classification, and clustering; data mining and knowledge discovery; protein: structure, function, and interaction; motifs, sites, and sequence analysis.
the proceedings contain 38 papers. the topics discussed include: evolutionary parameters in sequence families: cold adaptation of enzymes;MProfiler: a profile-based method for DNA motif discovery;on utilizing optimal ...
ISBN:
(纸本)3642040306
the proceedings contain 38 papers. the topics discussed include: evolutionary parameters in sequence families: cold adaptation of enzymes;MProfiler: a profile-based method for DNA motif discovery;on utilizing optimal and information theoretic syntactic modeling for peptide classification;multiclass microarray gene expression analysis based on mutual dependency models;an efficient convex nonnegative network component analysis for gene regulatory network reconstruction;using higher-order dynamic Bayesian networks to model periodic data from the circadian clock of Arabidopsis thaliana;syntactic patternrecognition using finite inductive strings;evidence-based clustering of reads and taxonomic analysis of metagenomic data;and avoiding spurious feedback loops in the reconstruction of gene regulatory networks with dynamic Bayesian networks.
the proceedings contain 38 papers. the topics discussed include: sequence-based prediction of protein secretion success in aspergillus niger;machine learning study of DNA binding by transcription factors from the lacI...
ISBN:
(纸本)364216000X
the proceedings contain 38 papers. the topics discussed include: sequence-based prediction of protein secretion success in aspergillus niger;machine learning study of DNA binding by transcription factors from the lacI family;joint loop end modeling improves covariance model based non-coding RNA gene search;structured output prediction of anti-cancer drug activity;optimization algorithms for identification and genotyping of copy number polymorphisms in human populations;preservation of statistically significant patterns in multiresolution 0-1 data;the complexity and application of syntactic patternrecognition using finite inductive strings;an algorithm to find all identical motifs in multiple biological sequences;discovery of non-induced patterns from sequences;exploring homology using the concept of three-state entropy vector;and maximum-likelihood formulation and EM algorithm for the protein multiple alignment problem.
the proceedings contain 25 papers. the topics discussed include: a fast agglomerative community detection method for protein complex discovery in protein interaction networks;inferring gene regulatory networks from ti...
ISBN:
(纸本)9783642391583
the proceedings contain 25 papers. the topics discussed include: a fast agglomerative community detection method for protein complex discovery in protein interaction networks;inferring gene regulatory networks from time-series expressions using random forests ensemble;local topological signatures for network-based prediction of biological function;mutational genomics for cancer pathway discovery;outlier gene set analysis combined with top scoring pair provides robust biomarkers of pathway activity;restricted neighborhood search clustering revisited: an evolutionary computation perspective;versatile sparse matrix factorization and its applications in high-dimensional biological data analysis;combining protein fragment feature-based resampling and local optimization;experimental determination of intrinsic drosophila embryo coordinates by evolutionary computation;and identifying informative genes for prediction of breast cancer subtypes.
the proceedings contain 11 papers. the topics discussed include: acquiring decision rules for predicting AMES-negative hepatocarcinogens using chemical-chemical interactions;using topology information for protein-prot...
ISBN:
(纸本)9783319091914
the proceedings contain 11 papers. the topics discussed include: acquiring decision rules for predicting AMES-negative hepatocarcinogens using chemical-chemical interactions;using topology information for protein-protein interaction prediction;biases of drug-target interaction network data;logol: expressive pattern matching in sequences. application to ribosomal frameshift modeling;evolutionary algorithm based on new crossover for the biclustering of gene expression data;SFFS-SW: a feature selection algorithm exploring the small-world properties of GNs;CytomicsDB: a metadata-based storage and retrieval approach for high-throughput screening experiments;CUDAGRN: Parallel Speedup of Inferring Large Gene Regulatory Networks from expression data using random forest;supervised selective kernel fusion for membrane protein prediction;and analysis of miRNA expression profiles in breast cancer using biclustering.
the proceedings contain 38 papers. the special focus in this conference is on patternrecognition in bioinformatics. the topics include: An algorithm to find all identical motifs in multiple biological sequences;disco...
ISBN:
(纸本)9783642160004
the proceedings contain 38 papers. the special focus in this conference is on patternrecognition in bioinformatics. the topics include: An algorithm to find all identical motifs in multiple biological sequences;discovery of non-induced patterns from sequences;exploring homology using the concept of three-state entropy vector;A maximum-likelihood formulation and EM algorithm for the protein multiple alignment problem;polynomial supertree methods revisited;enhancing graph database indexing by suffix tree structure;Semi-supervised graph embedding scheme with active learning (SSGEAL): Classifying high dimensional biomedical data;iterated local search for biclustering of microarray data;Machine learning study of DNA binding by transcription factors from the LacI family;Biologically-aware latent dirichlet allocation (BaLDA) for the classification of expression microarray;measuring the quality of shifting and scaling patterns in biclusters;frequent episode mining to support pattern analysis in developmental biology;Time series gene expression data classification via L1-norm temporal SVM;Sub-grid and spot detection in DNA microarray images using optimal multi-level thresholding;quantification of cytoskeletal protein localization from high-content images;patternrecognition for high throughput zebrafish imaging using genetic algorithm optimization;consensus of ambiguity: theory and application of active learning for biomedical image analysis;semi-supervised learning of sparse linear models in mass spectral imaging;A matrix algorithm for RNA secondary structure prediction;Joint loop end modeling improves covariance model based non-coding RNA gene search;exploiting long-range dependencies in protein β-sheet secondary structure prediction;alpha helix prediction based on evolutionary computation;an On/Off lattice approach to protein structure prediction from contact maps;preface.
this paper explores the analysis of user behavior and the development of growth strategies in digital exhibitions using patternrecognition technology. Withthe rapid advancement of digitalization, particularly in res...
详细信息
暂无评论