5 Result(s)
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Article
Open AccessDeep learning approach for cancer subtype classification using high-dimensional gene expression data
Studies have shown that classifying cancer subtypes can provide valuable information for a range of cancer research, from aetiology and tumour biology to prognosis and personalized treatment. Current methods u...
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Article
Open AccessBreakNet: detecting deletions using long reads and a deep learning approach
Structural variations (SVs) occupy a prominent position in human genetic diversity, and deletions form an important type of SV that has been suggested to be associated with genetic diseases. Although various d...
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Article
Open AccessNEDD: a network embedding based method for predicting drug-disease associations
Drug discovery is known for the large amount of money and time it consumes and the high risk it takes. Drug repositioning has, therefore, become a popular approach to save time and cost by finding novel indica...
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Article
Open AccessCorrection to: SLR: a scaffolding algorithm based on long reads and contig classification
Following publication of the original article [1], the author reported that there is an error in the original article.
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Article
Open AccessSLR: a scaffolding algorithm based on long reads and contig classification
Scaffolding is an important step in genome assembly that orders and orients the contigs produced by assemblers. However, repetitive regions in contigs usually prevent scaffolding from producing accurate result...
