Advances in Computational Biology: Advances in Experimental Medicine and Biology, cartea 680
Editat de Hamid R. Arabniaen Limba Engleză Paperback – 3 dec 2012
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Specificații
ISBN-13: 9781461426967
ISBN-10: 1461426960
Pagini: 780
Ilustrații: XVII, 759 p.
Dimensiuni: 155 x 235 x 41 mm
Greutate: 1.07 kg
Ediția:2010
Editura: Springer
Colecția Springer
Seria Advances in Experimental Medicine and Biology
Locul publicării:New York, NY, United States
ISBN-10: 1461426960
Pagini: 780
Ilustrații: XVII, 759 p.
Dimensiuni: 155 x 235 x 41 mm
Greutate: 1.07 kg
Ediția:2010
Editura: Springer
Colecția Springer
Seria Advances in Experimental Medicine and Biology
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
Part I: Bioinformatics Databases, Data Mining, and Pattern Discovery.- A Classification Method Based on Similarity Measures of Generalized Fuzzy Numbers in Building Expert System for Postoperative Patients by Pasi Luukka.- Efficient Support Vector Machine Method for Survival Prediction with SEER Data by Zhenqiu Liu, Dechang Chen, Guoliang Tian, Man-Lai Tang, Ming Tan, and Li Sheng.- Searching Maximal Degenerate Motifs Guided by a Compact Suffix Tree by Hongshan Jiang, Ying Zhao, Wenguang Chen, Weimin Zheng.- Exploring Motif Composition of Eukaryotic Promoter Regions by Nikola Stojanovic, Abanish Singh.- Large-Scale Analysis of Phylogenetic Search Behavior by Hyun Jung Park, Seung-Jin Sul, and Tiffani L. Williams.- Silicosection and Elucidation of the Plant Circadian Clock Using Bayesian Classifiers and New Genemining Algorithm by Sandra Smieszek, Rainer Richter, Bartlomiej Przychodzen, Jaroslaw Maciejewski.- ChemBrowser: A Flexible Framework for Mining Chemical Documents by Xian Wu, Li Zhang, Ying Chen, James Rhodes, Thomas D Griffin, Stephen K Boyer, Alfredo Alba, Keke Cai.-Experimental Study of Modified Voting Algorithm for Planted (l,d)-Motif Problem by Hazem M Bahig, Mostafa M Abbas, and Ashraf Bhery.- Prediction of Severe Sepsis Using SVM Model by Shu-Li Wang, Fan Wu, Bo-Hang, Wang.- Online Multi-Divisive Hierarchical Clustering for On-body Sensor Data by Ibrahim Musa Ishag Musa, Anour F.A. Dafa-Alla, Gyeong Min Yi, Dong Gyu Lee, Myeong-Chan Cho, Jang-Whan Bae, and Keun Ho Ryu.- On Quality Assurance and Assessment of Biological Datasets and Related Statistics by Maria Vardaki and Haralambos Papageorgiou.- Pattern Recognition Informed Feedback for Nanopore Detector Cheminformatics by A. Murat Eren, Iftekhar Amin, Amanda Alba, Eric Morales, Alexander Stoyanov, Stephen Winters-Hilt.- A MLP Neural Network for ECG Noise Removal Based on Kalman Filter by Sara Moein.- Discovery of Structural Motifs Using Protein Structural Alphabets and 1D Motif-finding Methods by Shih-Yen Ku, Yuh-Jyh Hu.- Biological databases at DNA Data Bank of Japan in the era of next-generation sequencing technologies by Yuichi Kodama, Eli Kaminuma, Satoshi Saruhashi, Kazuho Ikeo, Hideaki Sugawara, Yoshio Tateno and Yasukazu Nakamura.- Part II: Microarray, Gene Expression Analysis, and Gene Regulatory Networks.- Comparison of Microarray Pre-Processing Methods by Kabita Shakya, Heather J. Ruskin, Grainne Kerr, Martin Crane, Jeremie Becker.- A Robust Ensemble Classification Method for Microarray Data Analysis by Zhongwei Zhang, Jiuyong Li, Hong Hu, Hong Zhou.- k-NN for the Classification of Human Cancer Samples using the Gene Expression Profiles by Manuel Martin-Merino.- The Application of Regular Expression Based Pattern Matching to Profiling the Developmental Factors that Contribute to the Development of the Inner Ear by Christopher M. Frenz & Dorothy A. Frenz.- Functionally Informative Tag SNP Prioritization Using a Pareto-Optimal Approach by Phil Hyoun Lee, Jae-Yoon Jung, and Hagit Shatkay.- KMeans-Greedy Search Hybrid Algorithm for Biclustering Gene Expression Data by Shyama Das and Sumam Mary Idicula.- Robust Stability Analysis and Design Under Consideration of Multiple Feedback Loops of the Tryptophan Regulatory Network of E.Coli by A. meyer-Baese, F. Theis and M. Emmett.- FM-GA and CM-GA for Gene Microarray Analysis by Lily R. Liang, Rommel A. Benites Palomino, Zhao Lu, Vinay Mandal, Deepak Kumar.- Part III: Protein Classification and Structure Prediction, and Computational Structural Biology.- Novel Features for Automated Cell Phenotype Image Classification by Loris Nanni, Sheryl Brahnam, Alessandra Lumini.- A Relational Fuzzy C-Means Algorithm for Detecting Protein Spots in Two-Dimensional Gel Images by Shaheera Rashwan, Talaat Faheem, Amany Sarhan, Bayumy A.B.Youssef.- Assigning Probabilities to Mascot Peptide Identification Using Logistic Regression by Jinhong Shi and Fang-Xiang Wu.- Genome-Wide EST Data Mining Approaches to Resolving Incongrue
Caracteristici
Recent Advances in Computational Biology are covered through a variety of topics Both inward and outward research were covered during the conferences Some of these include: Gene Regulation, Gene expression databases, Gene pattern discovery and identification and Gene network modeling and interference Includes supplementary material: sn.pub/extras