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標(biāo)題: Titlebook: High-Dimensional Data Analysis in Cancer Research; Xiaochun Li,Ronghui Xu Book 2009 Springer-Verlag New York 2009 Bayesian Approaches.High [打印本頁]

作者: 板條箱    時間: 2025-3-21 18:16
書目名稱High-Dimensional Data Analysis in Cancer Research影響因子(影響力)




書目名稱High-Dimensional Data Analysis in Cancer Research影響因子(影響力)學(xué)科排名




書目名稱High-Dimensional Data Analysis in Cancer Research網(wǎng)絡(luò)公開度




書目名稱High-Dimensional Data Analysis in Cancer Research網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱High-Dimensional Data Analysis in Cancer Research被引頻次




書目名稱High-Dimensional Data Analysis in Cancer Research被引頻次學(xué)科排名




書目名稱High-Dimensional Data Analysis in Cancer Research年度引用




書目名稱High-Dimensional Data Analysis in Cancer Research年度引用學(xué)科排名




書目名稱High-Dimensional Data Analysis in Cancer Research讀者反饋




書目名稱High-Dimensional Data Analysis in Cancer Research讀者反饋學(xué)科排名





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On the Role and Potential of High-Dimensional Biologic Data in Cancer Research,
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Variable selection in regression - estimation, prediction,sparsity, inference,
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Support Vector Machine Classification for High Dimensional Microarray Data Analysis, With Applicati
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Ross L. Prenticeably intact, though it blebs and the phospholipids redistribute. The specific translocation of phosphatidylserine to the outer leaflet of the plasma membrane has been shown to play a very important role in the recognition of apoptotic cells by phagocytes (Martin et al., 1995). In addition, other mem
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Ronghui Xu,Anthony Gamst980]. In those days, complex turbulence schemes were mainly applied in the field of computational fluid dynamics with its well-defined model problems. This restriction to technical and engineering applications can be explained by several arguments: clearly defined model domains and forcing, higher r
作者: 得意人    時間: 2025-3-25 05:24
Adele Cutler,D. Richard Cutler,John R. Stevens980]. In those days, complex turbulence schemes were mainly applied in the field of computational fluid dynamics with its well-defined model problems. This restriction to technical and engineering applications can be explained by several arguments: clearly defined model domains and forcing, higher r
作者: 沖擊力    時間: 2025-3-25 11:12
Hao Helen Zhangcid hybridization made detection of target sequences highly specific and/or relatively rapid in comparison to standardized immunological or culture-based assays, the methodology was slow in being adapted to clinical settings for two major reasons. First, the most sensitive nucleic acid hybridization
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Sonia Jainc. By July, 1993, more than 150 countries had reported over 718,894 cases to the World Health Organization (WHO, 1993), and more than 8 million persons worldwide were estimated to be infected with the human immunodeficiency virus type 1 (HIV-1), the etiologic agent of AIDS. There are estimated to be
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r, only apparently technical in nature: how can we speak about the whole of the field into which we are striding? For we shall find there not only the complete clutter of what today goes by the name of information but also all that is vaguely related to it. The initial question itself is in turn emb
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作者: 不可知論    時間: 2025-3-26 00:33

作者: Blasphemy    時間: 2025-3-26 07:09
https://doi.org/10.1007/978-0-387-69765-9Bayesian Approaches; High-Dimensional Biologic data; Laboratory; Microarray; Multivariate Nonparametric
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作者: 碎石頭    時間: 2025-3-26 18:04
978-1-4419-2414-8Springer-Verlag New York 2009
作者: 是他笨    時間: 2025-3-26 22:27
High-Dimensional Data Analysis in Cancer Research978-0-387-69765-9Series ISSN 2363-9644 Series E-ISSN 2363-9652
作者: aerobic    時間: 2025-3-27 01:36
An Introduction to Piecewise Smooth Dynamicsfically, the authors propose a hidden Markov deterioration model for expressway pavements that describes the transition of the load-bearing capacity of the pavement structure with a combined process, which consists of (1) a process of deterioration with age and (2) a process of recovery through repa
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Weight Estimation of Lifted Object from Body Motions Using Neural Networkimated an object’s mass in real-time, u/sing data from a single person for training. The experimental results showed that the proposed system could estimate an object’s mass more accurately than human senses.




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