Evan Cofer

Results 30 issues of Evan Cofer

> Cancer genomic analysis requires accurate identification of somatic variants in sequencing data. Manual review to refine somatic variant calls is required as a final step after automated processing. However,...

paper

> Sepsis is the third leading cause of death worldwide and the main cause of mortality in hospitals1,2,3, but the best treatment strategy remains uncertain. In particular, evidence suggests that...

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> Deep learning techniques on MRI scans have demonstrated great potential to improve the diagnosis of neurological diseases. Here, we investigate the application of 3D deep convolutional neural networks (CNNs)...

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> - Motivation Alternative splice site selection is inherently competitive and the probability of a given splice site to be used also depends on the strength of neighboring sites. Here,...

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> Suspected fractures are among the most common reasons for patients to visit emergency departments (EDs), and X-ray imaging is the primary diagnostic tool used by clinicians to assess patients...

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> Motivation: The prediction of off-target mutations in CRISPR-Cas9 is a hot topic due to its relevance to gene editing research. Existing prediction methods have been developed; however, most of...

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>The functions of proteins and RNAs are defined by the collective interactions of many residues, and yet most statistical mod- els of biological sequences consider sites nearly independently. Recent approaches...

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unsupervised

> Neuroscience is experiencing a revolution in which simultaneous recording of thousands of neurons is revealing population dynamics that are not apparent from single-neuron responses. This structure is typically extracted...

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unsupervised

> Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumor-infiltrating lymphocytes (TILs) based on...

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study

> Motivation: The presence of missing values is a frequent problem encountered in genomic data analysis. Lost data can be an obstacle to downstream analyses that require complete data matrices....

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