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Full-Text Articles in Genetics and Genomics
Incorporating Pathway Information Into Feature Selection Towards Better Performed Gene Signatures, Suyan Tian, Chi Wang, Bing Wang
Incorporating Pathway Information Into Feature Selection Towards Better Performed Gene Signatures, Suyan Tian, Chi Wang, Bing Wang
Biostatistics Faculty Publications
To analyze gene expression data with sophisticated grouping structures and to extract hidden patterns from such data, feature selection is of critical importance. It is well known that genes do not function in isolation but rather work together within various metabolic, regulatory, and signaling pathways. If the biological knowledge contained within these pathways is taken into account, the resulting method is a pathway-based algorithm. Studies have demonstrated that a pathway-based method usually outperforms its gene-based counterpart in which no biological knowledge is considered. In this article, a pathway-based feature selection is firstly divided into three major categories, namely, pathway-level selection, …
Multi-Tissue Transcriptomes Of Caecilian Amphibians Highlight Incomplete Knowledge Of Vertebrate Gene Families, María Torres-Sánchez, Christopher J. Creevey, Etienne Kornobis, David J. Gower, Mark Wilkinson, Diego San Mauro
Multi-Tissue Transcriptomes Of Caecilian Amphibians Highlight Incomplete Knowledge Of Vertebrate Gene Families, María Torres-Sánchez, Christopher J. Creevey, Etienne Kornobis, David J. Gower, Mark Wilkinson, Diego San Mauro
Neuroscience Faculty Publications
RNA sequencing (RNA-seq) has become one of the most powerful tools to unravel the genomic basis of biological adaptation and diversity. Although challenging, RNA-seq is particularly promising for research on non-model, secretive species that cannot be observed in nature easily and therefore remain comparatively understudied. Among such animals, the caecilians (order Gymnophiona) likely constitute the least known group of vertebrates, despite being an old and remarkably distinct lineage of amphibians. Here, we characterize multi-tissue transcriptomes for five species of caecilians that represent a broad level of diversity across the order. We identified vertebrate homologous elements of caecilian functional genes of …