コンテンツへ移動
Evolutionary computation, machine learning and data mining in bioinformatics : 11th European Conference : proceedings 資料のプレビュー
閉じる資料のプレビュー
確認中…

Evolutionary computation, machine learning and data mining in bioinformatics : 11th European Conference : proceedings

著者: Leonardo Vanneschi; et al
出版: Heidelberg : Springer, 2013.
シリーズ: Lecture notes in computer science, 7833
エディション/フォーマット:   書籍 : English
データベース:WorldCat
評価:

(まだ評価がありません) 0 件のレビュー - 是非あなたから!

件名:
関連情報:

 

オフラインで入手

&AllPage.SpinnerRetrieving; この資料の所蔵館を検索中…

詳細

ジャンル/形式: Kongress
ドキュメントの種類: 図書
すべての著者/寄与者: Leonardo Vanneschi; et al
ISBN: 9783642371882 3642371884 9783642371899 3642371892
OCLC No.: 844899199
物理形態: 215 S : Ill.
コンテンツ: Multiple Threshold Spatially Uniform ReliefF for the Genetic Analysis of Complex Human Diseases.- Time-Point Specific Weighting Improves Coexpression Networks from Time-Course Experiments.- Inferring Human Phenotype Networks from Genome-Wide Genetic.- Knowledge-Constrained K-Medoids Clustering of Regulatory Rare Alleles for Burden Tests.- Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach.- Structured Populations and the Maintenance of Sex.- Hybrid Multiobjective Artificial Bee Colony with Differential Evolution Applied to Motif Finding.- ACO-Based Bayesian Network Ensembles for the Hierarchical Classification of Ageing-Related Proteins.- Dimensionality Reduction via Isomap with Lock-Step and Elastic Measures for Time Series Gene Expression Classification.- Supervising Random Forest Using Attribute Interaction Networks.- Hybrid Genetic Algorithms for Stress Recognition in Optimal Use of Biological Expert Knowledge from Literature.- Mining in Ant Colony Optimization for Analysis of Epistasis in Human Disease.- A Multiobjective Proposal Based on the Firefly Algorithm for Inferring Phylogenies.- Mining for Variability in the Coagulation Pathway: A Systems Biology Approach.- Improving the Performance of CGPANN for Breast Cancer Diagnosis Using Crossover and Radial Basis Functions.- An Evolutionary Approach to Wetlands Design.- Impact of Different Recombination Methods in a Mutation-Specific MOEA for a Biochemical Application.- Cell-Based Metrics Improve the Detection of Gene-Gene Interactions Using Multifactor Dimensionality Reduction.- Emergence of Motifs in Model Gene Regulatory Networks.
シリーズタイトル: Lecture notes in computer science, 7833
責任者: EvoBIO 2012, Vienna, Austria, April 3-5, 2013 ; Leonardo Vanneschi ... [et al.] (eds.).
その他の情報:

レビュー

ユーザーレビュー
GoodReadsのレビューを取得中…
DOGObooksのレビューを取得中…

タグ

まずはあなたから!
リクエストの確認

あなたは既にこの資料をリクエストしている可能性があります。このリクエストを続行してよろしければ、OK を選択してください。

リンクデータ


<http://www.worldcat.org/oclc/844899199>
library:oclcnum"844899199"
library:placeOfPublication
library:placeOfPublication
rdf:typeschema:Book
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:contributor
schema:contributor
schema:datePublished"2013"
schema:exampleOfWork<http://worldcat.org/entity/work/id/1348496759>
schema:genre"Kongress"
schema:inLanguage"en"
schema:isPartOf
schema:name"Evolutionary computation, machine learning and data mining in bioinformatics : 11th European Conference : proceedings"
schema:publication
schema:publisher
schema:workExample
schema:workExample
umbel:isLike<http://d-nb.info/1031595287>
wdrs:describedby

Content-negotiable representations

ウインドウを閉じる

WorldCatにログインしてください 

アカウントをお持ちではないですか?簡単に 無料アカウントを作成することができます。.