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Titlebook: Bioinformatics Research and Applications; 13th International S Zhipeng Cai,Ovidiu Daescu,Min Li Conference proceedings 2017 Springer Nature

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發(fā)表于 2025-3-21 19:13:31 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Bioinformatics Research and Applications
期刊簡稱13th International S
影響因子2023Zhipeng Cai,Ovidiu Daescu,Min Li
視頻videohttp://file.papertrans.cn/188/187170/187170.mp4
發(fā)行地址Includes supplementary material:
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Bioinformatics Research and Applications; 13th International S Zhipeng Cai,Ovidiu Daescu,Min Li Conference proceedings 2017 Springer Nature
影響因子This book constitutes the proceedings of the 13th International Symposium on Bioinformatics Research and Applications, ISBRA 2017, held in Honolulu, HI, USA, in May/June 2017. .The 27 full papers presented together with 18 short papers and 24 invited abstracts were carefully reviewed and selected from 131 submissions. They cover topics such as: biomarker discovery; biomedical databases and data integration; biomedical text mining and ortologies; biomolecular imaging; comparative genomics; computational genetic epidemiology; computational proteomics; data mining and visualization; gene expression analysis; genome analysis; high-performance bio-computing; metagenomics; molecular evolution; molecular modelling and simulation; next-generation sequencing data analysis; pattern discovery and classification; population genetics; software tools and applications; structural biology; and systems biology..
Pindex Conference proceedings 2017
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書目名稱Bioinformatics Research and Applications影響因子(影響力)




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Histopathological Diagnosis for Viable and Non-viable Tumor Prediction for Osteosarcoma Using Convotaset. Segmentation and classification of histology tissue in H&E stained tumor image datasets is challenging due to intra-class variations and inter-class similarity, crowded context, and noisy data. In recent years, deep learning approaches have led to encouraging results in breast cancer and pros
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Relating Diseases Based on Disease Module Theory,iagnosis, drug repositioning and new drug development. Due to the growing body of high-throughput biological data, a number of methods have been proposed for the computation of similarity among diseases during past decades. Recently, the disease module theory has been presented, which states that di
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Unfolding the Protein Surface for Pattern Matching, remained scientific and computational challenges. We introduce a novel representation of 3-D protein surface patches as 2-D images, obtained using dimension reduction. We utilize image registration to compare these surface patches and infer protein function and binding based on surface similarity.
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Estimation of Rates of Reactions Triggered by Electron Transfer in Top-Down Mass Spectrometry,sts of several competing reactions triggered by the transfer of an electron from its anion source to the sample cations. One can retrieve relative quantities of the products from mass spectra..We present a method to analyze these results from the perspective of the reaction kinetics. A formal mathem
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Construction of Protein Backbone Fragments Libraries on Large Protein Sets Using a Randomized Specttral clustering algorithm to analyze the fixed-length protein backbone fragment sets derived from the continuously growing Protein Data Bank (PDB) to construct libraries of protein fragments. Incorporating the rank-revealing randomized singular value decomposition algorithm into spectral clustering
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