Jun 27, 2018 · We developed a new machine learning algorithm called CTCF-MP based on word2vec to demonstrate that sequence-based features alone have the ...
Jul 1, 2018 · CTCF-MP is able to make highly accurate predictions on whether a convergent CTCF motif pair would form a loop in a single cell type and also across different ...
Feb 2, 2018 · We developed a new machine learning algorithm called CTCF-MP based on word2vec to demonstrate that sequence-based features alone have the ...
Oct 11, 2018 · Here, we present Lollipop, a machine-learning framework, which predicts CTCF-mediated long-range interactions using genomic and epigenomic features.
CTCF-mediated chromatin loops underlie the formation of topological associating domains and serve as the structural basis for transcriptional regulation.
We developed a new machine learning algorithm called CTCF-MP based on word2vec to demonstrate that sequence-based features alone have the capability to predict ...
The models are usually trained in a balanced dataset while the actual prediction is on an imbalanced dataset(more negative samples as compared to the positive ...
Feb 2, 2018 · Abstract. The three dimensional organization of chromosomes within the cell nucleus is highly regulated. It is known that CTCF is an ...
CTCF binding site sequence differences are associated with unique regulatory and functional trends during embryonic stem cell differentiation · Biology. Nucleic ...
We developed a new machine learning algorithm called CTCF-MP based on word2vec to demonstrate that sequence-based features alone have the capability to predict ...
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