• Publications
  • Influence
Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
Knowing the sequence specificities of DNA- and RNA-binding proteins is essential for developing models of the regulatory processes in biological systems and for identifying causal disease variants.Expand
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Fast Approximate Energy Minimization with Label Costs
TLDR
The α-expansion algorithm has had a significant impact in computer vision due to its generality, effectiveness, and speed. Expand
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Globally optimal segmentation of multi-region objects
  • Andrew Delong, Yuri Boykov
  • Mathematics, Computer Science
  • IEEE 12th International Conference on Computer…
  • 1 September 2009
TLDR
We show how to encode geometric interactions between distinct region+boundary models, such as regions being interior/exterior to each other along with preferred distances between their boundaries. Expand
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A Scalable graph-cut algorithm for N-D grids
TLDR
We show that when these graphs do not fit into physical memory, current max-flow/min-cut algorithms-the workhorse of graph cut methods-are totally impractical. Expand
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Submodularization for Binary Pairwise Energies
TLDR
We propose a general optimization framework based on local submodular approximations (LSA). Expand
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An Integral Solution to Surface Evolution PDEs Via Geo-cuts
TLDR
We introduce a new approach to modelling gradient flows of contours and surfaces with respect to a fairly general class of continuous functionals. Expand
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Machine Learning in Genomic Medicine: A Review of Computational Problems and Data Sets
TLDR
We provide an introduction to machine learning tasks that address important problems in genomic medicine. Expand
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Minimizing Energies with Hierarchical Costs
TLDR
We characterize a class of energies with hierarchical costs and propose a novel hierarchical fusion algorithm to minimize them. Expand
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Allele-specific transcription factor binding as a benchmark for assessing variant impact predictors
Genetic variation has long been known to alter transcription factor binding sites, resulting in sometimes major phenotypic consequences. While the performance for current binding site predictors isExpand
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Advances in Graph-Cut Optimization: Multi-Surface Models, Label Costs, and Hierarchical Costs
Computer vision is full of problems that are elegantly expressed in terms of mathematical optimization, or energy minimization. This is particularly true of “low-level” inference problems such asExpand
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