User profiles for R. B. Altman
Russ B AltmanProfessor Stanford University Verified email at stanford.edu Cited by 65734 |
Missing value estimation methods for DNA microarrays
Motivation: Gene expression microarray experiments can generate data sets with multiple
missing expression values. Unfortunately, many algorithms for gene expression analysis …
missing expression values. Unfortunately, many algorithms for gene expression analysis …
Pharmacogenomics knowledge for personalized medicine
The Pharmacogenomics Knowledgebase (PharmGKB) is a resource that collects, curates,
and disseminates information about the impact of human genetic variation on drug responses. …
and disseminates information about the impact of human genetic variation on drug responses. …
Doxorubicin pathways: pharmacodynamics and adverse effects
The goal of this study is to give a brief background on the literature supporting the PharmGKB
pathway about doxorubicin action, and provides a summary of this active area of research. …
pathway about doxorubicin action, and provides a summary of this active area of research. …
Diversity of gene expression in adenocarcinoma of the lung
The global gene expression profiles for 67 human lung tumors representing 56 patients were
examined by using 24,000-element cDNA microarrays. Subdivision of the tumors based on …
examined by using 24,000-element cDNA microarrays. Subdivision of the tumors based on …
[HTML][HTML] Guidelines for investigating causality of sequence variants in human disease
The discovery of rare genetic variants is accelerating, and clear guidelines for distinguishing
disease-causing sequence variants from the many potentially functional variants present in …
disease-causing sequence variants from the many potentially functional variants present in …
[HTML][HTML] Personal omics profiling reveals dynamic molecular and medical phenotypes
Personalized medicine is expected to benefit from combining genomic information with regular
monitoring of physiological states by multiple high-throughput methods. Here, we present …
monitoring of physiological states by multiple high-throughput methods. Here, we present …
Principal components analysis to summarize microarray experiments: application to sporulation time series
A series of microarray experiments produces observations of differential expression for
thousands of genes across multiple conditions. It is often not clear whether a set of experiments …
thousands of genes across multiple conditions. It is often not clear whether a set of experiments …
The chemical genomic portrait of yeast: uncovering a phenotype for all genes
Genetics aims to understand the relation between genotype and phenotype. However,
because complete deletion of most yeast genes (∼80%) has no obvious phenotypic …
because complete deletion of most yeast genes (∼80%) has no obvious phenotypic …
[HTML][HTML] Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features
Lung cancer is the most prevalent cancer worldwide, and histopathological assessment is
indispensable for its diagnosis. However, human evaluation of pathology slides cannot …
indispensable for its diagnosis. However, human evaluation of pathology slides cannot …
[HTML][HTML] Machine learning in chemoinformatics and drug discovery
… Rensi and Altman developed a method for computing the similarity of chemical transformations
using Tanimoto kernel embedded fingerprints and extended a fuzzy search capability to …
using Tanimoto kernel embedded fingerprints and extended a fuzzy search capability to …