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    Chapter

    Isoform Expression Analysis Based on RNA-seq Data

    The development of novel high-throughput DNA sequencing methods has provided a powerful method for both map** and quantifying transcriptomes. This method, termed RNA-seq (RNA sequencing), has advantages over...

    Hongzhe Li in Statistical Analysis of Next Generation Sequencing Data (2014)

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    Chapter

    Linkage Analysis of Qualitative Traits

    Linkage analysis of pedigree data is a powerful tool for map** genomic regions that are likely to contain genes influencing human diseases. In this chapter, we will first introduce concepts and rationale of ...

    Mingyao Li, Gonçalo R. Abecasis in Handbook on Analyzing Human Genetic Data (2010)

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    Chapter

    DNA-Chip Analyzer (dChip)

    DNA-Chip Analyzer (dChip) is a software package implementing model-based expression analysis of oligonucleotide arrays and several high-level analysis procedures. The model-based approach allows probe-level an...

    Cheng Li, Wing Hung Wong in The Analysis of Gene Expression Data (2003)

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    Chapter

    Computational Analysis of Leukemia Microarray Expression Data Using the GA/KNN Method

    We recently developed a multivariate method that selects a subset of discriminative genes for sample classification based on gene expression data. The method combines a search tool, a genetic algorithm (GA), a...

    Le** Li, Lee. G. Pedersen, Thomas A. Darden in Methods of Microarray Data Analysis (2002)

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    Chapter

    Evaluation of Current Methods of Testing Differential Gene expression and Beyond

    One frequent question in the study of microarrys concerns the number of replicates required to obtain vaild data. We used the T-matrix data from the NCI-60 cancer cell lines dataset to investigate this questio...

    Yi-Ju Li, Ling Zhang, Marcy C. Speer in Methods of Microarray Data Analysis II (2002)

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    Chapter

    How Many Genes are Needed for a Discriminant Microarray Data Analysis

    The analysis of the leukemia data from Whitehead/MIT group is a discriminant analysis (also called a supervised learning). Among thousands of genes whose expression levels are measured, not all are needed for ...

    Wentian Li, Yaning Yang in Methods of Microarray Data Analysis (2002)

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    Chapter

    Classical Statistical Approaches to Molecular Classification of Cancer from Gene Expression Profiling

    Recent literature regarding microarray technology has focused on the need to incorporate classical statistical practices in experimental design in order to utilize more robust, classical statistical methodolog...

    Jun Lu, Sarah Hardy, Wen-Li Tao, Spencer Muse in Methods of Microarray Data Analysis (2002)

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    Chapter

    Correlation of DNA fragment sizes within loci in the presence of non-detectable alleles

    At present most forensic databases of DNA profiling of individuals consist of DNA fragment sizes measured from Southern blot restriction fragment length polymorphism (RFLP) analysis. Statistical studies of the...

    Ranajit Chakraborty, Zhaojue Li in Human Identification: The Use of DNA Markers (1995)