Data Structures for Statistical Computing in Python
In this paper we are concerned with the practical issues of working with data sets common to finance, statistics, and other related fields. pandas is a new library which aims to...
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1,185 publications
GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses
Tremendous amount of RNA sequencing data have been produced by large consortium projects such as TCGA and GTEx, creating new opportunities for data mining and deeper understandi...
Cancer Statistics, 2008
Each year, the American Cancer Society estimates the number of new cancer cases and deaths expected in the United States in the current year and compiles the most recent data on...
Inferring tumour purity and stromal and immune cell admixture from expression data
Infiltrating stromal and immune cells form the major fraction of normal cells in tumour tissue and not only perturb the tumour signal in molecular studies but also have an impor...
A General Inductive Approach for Analyzing Qualitative Evaluation Data
A general inductive approach for analysis of qualitative evaluation data is described. The purposes for using an inductive approach are to (a) condense raw textual data into a b...
QUAST: quality assessment tool for genome assemblies
Abstract Summary: Limitations of genome sequencing techniques have led to dozens of assembly algorithms, none of which is perfect. A number of methods for comparing assemblers h...
The Occurrence of Sleep-Disordered Breathing among Middle-Aged Adults
The prevalence of undiagnosed sleep-disordered breathing is high among men and is much higher than previously suspected among women. Undiagnosed sleep-disordered breathing is as...
Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data
These newly developed ICD-10 and ICD-9-CM comorbidity coding algorithms produce similar estimates of comorbidity prevalence in administrative data, and may outperform existing I...
Saturation in qualitative research: exploring its conceptualization and operationalization
Saturation has attained widespread acceptance as a methodological principle in qualitative research. It is commonly taken to indicate that, on the basis of the data that have be...
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
Feature selection is an important problem for pattern classification systems. We study how to select good features according to the maximal statistical dependency criterion base...