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    BMCBI
    2007
    149views more  BMCBI 2007»
    Robust imputation method for missing values in microarray data
    13 years 4 months ago
    Robust imputation method for missing values in microarray data
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    Background: When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis canno...
    Dankyu Yoon, Eun-Kyung Lee, Taesung Park
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    WWW
    2008
    ACM
    142views Internet Technology» more  WWW 2008»
    Measuring extremal dependencies in web graphs
    14 years 5 months ago
    Measuring extremal dependencies in web graphs
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    We analyze dependencies in power law graph data (Web sample, Wikipedia sample and a preferential attachment graph) using statistical inference for multivariate regular variation. ...
    Yana Volkovich, Nelly Litvak, Bert Zwart
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    AI
    2001
    Springer
    103views Artificial Intelligence» more  AI 2001»
    A Case Study for Learning from Imbalanced Data Sets
    13 years 9 months ago
    A Case Study for Learning from Imbalanced Data Sets
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    We present our experience in applying a rule induction technique to an extremely imbalanced pharmaceutical data set. We focus on using a variety of performance measures to evaluate...
    Aijun An, Nick Cercone, Xiangji Huang
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    BMCBI
    2006
    211views more  BMCBI 2006»
    Missing value estimation for DNA microarray gene expression data by Support Vector Regression imputation and orthogonal coding s
    13 years 5 months ago
    Missing value estimation for DNA microarray gene expression data by Support Vector Regression imputation and orthogonal coding s
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    Background: Gene expression profiling has become a useful biological resource in recent years, and it plays an important role in a broad range of areas in biology. The raw gene ex...
    Xian Wang, Ao Li, Zhaohui Jiang, Huanqing Feng
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    BIOCOMP
    2006
    233views Bioinformatics» more  BIOCOMP 2006»
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    13 years 6 months ago
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
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    Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
    Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia
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