Cargando…
The role of functional data in interpreting the effects of genetic variation
Progress in DNA-sequencing technologies has provided a catalogue of millions of DNA variants in the human population, but characterization of the functional effects of these variants has lagged far behind. For example, sequencing of tumor samples is driving an urgent need to classify whether or not...
Autores principales: | Young, David L., Fields, Stanley |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The American Society for Cell Biology
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4710221/ https://www.ncbi.nlm.nih.gov/pubmed/26543197 http://dx.doi.org/10.1091/mbc.E15-03-0153 |
Ejemplares similares
-
CutLang v2: Advances in a Runtime-Interpreted Analysis Description Language for HEP Data
por: Unel, G., et al.
Publicado: (2021) -
Editorial: Human-Interpretable Machine Learning
por: Tolomei, Gabriele, et al.
Publicado: (2022) -
Structural Compression of Convolutional Neural Networks with Applications in Interpretability
por: Abbasi-Asl, Reza, et al.
Publicado: (2021) -
Topic Modeling for Interpretable Text Classification From EHRs
por: Rijcken, Emil, et al.
Publicado: (2022) -
Adaptive granularity in tensors: A quest for interpretable structure
por: Pasricha, Ravdeep S., et al.
Publicado: (2022)