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Discriminative prediction of mammalian enhancers from DNA sequence
Accurately predicting regulatory sequences and enhancers in entire genomes is an
important but difficult problem, especially in large vertebrate genomes. With the advent of …
important but difficult problem, especially in large vertebrate genomes. With the advent of …
Effective automated feature construction and selection for classification of biological sequences
Background Many open problems in bioinformatics involve elucidating underlying functional
signals in biological sequences. DNA sequences, in particular, are characterized by rich …
signals in biological sequences. DNA sequences, in particular, are characterized by rich …
Methods, Systems and Devices Comprising Support Vector Machine for Regulatory Sequence Features
US20140129152A1 - Methods, Systems and Devices Comprising Support Vector Machine
for Regulatory Sequence Features - Google Patents US20140129152A1 - Methods …
for Regulatory Sequence Features - Google Patents US20140129152A1 - Methods …
EML: a scalable, transparent meta-learning paradigm for big data applications
The work presented in this chapter is motivated by two important challenges that arise when
applying ML techniques to big data applications: the scalability of an ML technique as the …
applying ML techniques to big data applications: the scalability of an ML technique as the …
[BOK][B] Predicting mammalian enhancers from DNA sequence
D Lee - 2013 - search.proquest.com
It is widely appreciated that transcriptional regulation plays a central role in most biological
processes. However, our current understanding of the molecular mechanisms by which the …
processes. However, our current understanding of the molecular mechanisms by which the …