User profiles for Atul J. Butte
Atul J. ButteDirector, Bakar Computational Health Sciences Institute, University of California, San … Verified email at ucsf.edu Cited by 59027 |
[HTML][HTML] Ten years of pathway analysis: current approaches and outstanding challenges
Pathway analysis has become the first choice for gaining insight into the underlying biology
of differentially expressed genes and proteins, as it reduces complexity and has increased …
of differentially expressed genes and proteins, as it reduces complexity and has increased …
Exploiting drug–disease relationships for computational drug repositioning
Finding new uses for existing drugs, or drug repositioning, has been used as a strategy for
decades to get drugs to more patients. As the ability to measure molecules in high-throughput …
decades to get drugs to more patients. As the ability to measure molecules in high-throughput …
Ethnic differences in the relationship between insulin sensitivity and insulin response: a systematic review and meta-analysis
OBJECTIVE Human blood glucose levels have likely evolved toward their current point of
stability over hundreds of thousands of years. The robust population stability of this trait is …
stability over hundreds of thousands of years. The robust population stability of this trait is …
Coordinated reduction of genes of oxidative metabolism in humans with insulin resistance and diabetes: Potential role of PGC1 and NRF1
Type 2 diabetes mellitus (DM) is characterized by insulin resistance and pancreatic β cell
dysfunction. In high-risk subjects, the earliest detectable abnormality is insulin resistance in …
dysfunction. In high-risk subjects, the earliest detectable abnormality is insulin resistance in …
Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage
Tissue fibrosis is a major cause of mortality that results from the deposition of matrix proteins
by an activated mesenchyme. Macrophages accumulate in fibrosis, but the role of specific …
by an activated mesenchyme. Macrophages accumulate in fibrosis, but the role of specific …
[HTML][HTML] Scalable and accurate deep learning with electronic health records
Predictive modeling with electronic health record (EHR) data is anticipated to drive personalized
medicine and improve healthcare quality. Constructing predictive statistical models …
medicine and improve healthcare quality. Constructing predictive statistical models …
[HTML][HTML] xCell: digitally portraying the tissue cellular heterogeneity landscape
Tissues are complex milieus consisting of numerous cell types. Several recent methods have
attempted to enumerate cell subsets from transcriptomes. However, the available methods …
attempted to enumerate cell subsets from transcriptomes. However, the available methods …
[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 …
Mutual information relevance networks: functional genomic clustering using pairwise entropy measurements
Increasing numbers of methodologies are available to find functional genomic clusters in
RNA expression data. We describe a technique that computes comprehensive pair-wise …
RNA expression data. We describe a technique that computes comprehensive pair-wise …
[PDF][PDF] Variation in the human immune system is largely driven by non-heritable influences
There is considerable heterogeneity in immunological parameters between individuals, but
its sources are largely unknown. To assess the relative contribution of heritable versus non-…
its sources are largely unknown. To assess the relative contribution of heritable versus non-…