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Comparative transcriptomics in human and mouse
Cross-species comparisons of genomes, transcriptomes and gene regulation are now
feasible at unprecedented resolution and throughput, enabling the comparison of human …
feasible at unprecedented resolution and throughput, enabling the comparison of human …
[HTML][HTML] The BRENDA enzyme information system–From a database to an expert system
Enzymes, representing the largest and by far most complex group of proteins, play an
essential role in all processes of life, including metabolism, gene expression, cell division …
essential role in all processes of life, including metabolism, gene expression, cell division …
Large-scale analysis of genome and transcriptome alterations in multiple tumors unveils novel cancer-relevant splicing networks
Alternative splicing is regulated by multiple RNA-binding proteins and influences the
expression of most eukaryotic genes. However, the role of this process in human disease …
expression of most eukaryotic genes. However, the role of this process in human disease …
Tissue enrichment analysis for C. elegans genomics
Background Over the last ten years, there has been explosive development in methods for
measuring gene expression. These methods can identify thousands of genes altered …
measuring gene expression. These methods can identify thousands of genes altered …
Detection of recurrent alternative splicing switches in tumor samples reveals novel signatures of cancer
The determination of the alternative splicing isoforms expressed in cancer is fundamental for
the development of tumor-specific molecular targets for prognosis and therapy, but it is …
the development of tumor-specific molecular targets for prognosis and therapy, but it is …
Mining data and metadata from the gene expression omnibus
Publicly available gene expression datasets deposited in the Gene Expression Omnibus
(GEO) are growing at an accelerating rate. Such datasets hold great value for knowledge …
(GEO) are growing at an accelerating rate. Such datasets hold great value for knowledge …
One-class detection of cell states in tumor subtypes
The cellular composition of a tumor greatly influences the growth, spread, immune activity,
drug response, and other aspects of the disease. Tumor cells are usually comprised of a …
drug response, and other aspects of the disease. Tumor cells are usually comprised of a …
Supervised learning is an accurate method for network-based gene classification
Background Assigning every human gene to specific functions, diseases and traits is a
grand challenge in modern genetics. Key to addressing this challenge are computational …
grand challenge in modern genetics. Key to addressing this challenge are computational …
CellO: Comprehensive and hierarchical cell type classification of human cells with the Cell Ontology
Cell type annotation is a fundamental task in the analysis of single-cell RNA-sequencing
data. In this work, we present CellO, a machine learning-based tool for annotating human …
data. In this work, we present CellO, a machine learning-based tool for annotating human …
A computational framework for genome-wide characterization of the human disease landscape
A key challenge for the diagnosis and treatment of complex human diseases is identifying
their molecular basis. Here, we developed a unified computational framework, URSA HD …
their molecular basis. Here, we developed a unified computational framework, URSA HD …