Bioinformatics
747 papers
Papers per year
1
1
15
6
10
7
15
9
18
13
11
5
7
13
25
37
61
33
68
72
143
154
23
'10
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'25
Papers
Sparse Space-Time Deconvolution for Calcium Image Analysis
NeurIPS 2014
Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models
ICML 2014
A memory frontier for complex synapses
NeurIPS 2013
Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits
NeurIPS 2013
Contrastive Learning Using Spectral Methods
NeurIPS 2013
Drosophila Embryo Stage Annotation Using Label Propagation
ICCV 2013
Extracting regions of interest from biological images with convolutional sparse block coding
NeurIPS 2013
Mapping paradigm ontologies to and from the brain
NeurIPS 2013
Matrix factorization with binary components
NeurIPS 2013
Message Passing Inference with Chemical Reaction Networks
NeurIPS 2013
Multiscale Dictionary Learning for Estimating Conditional Distributions
NeurIPS 2013
PDM-ENLOR: Learning Ensemble of Local PDM-Based Regressions
CVPR 2013
Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes
AISTATS 2013
Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions
NeurIPS 2013
Speeding up Permutation Testing in Neuroimaging
NeurIPS 2013
A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation
NeurIPS 2012
A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping
AISTATS 2012
Bayesian Pedigree Analysis using Measure Factorization
NeurIPS 2012
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters
AISTATS 2012
Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction
NeurIPS 2012
Graphical Models via Generalized Linear Models
NeurIPS 2012
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction
NeurIPS 2012
Identification of Recurrent Patterns in the Activation of Brain Networks
NeurIPS 2012
Kernel Hyperalignment
NeurIPS 2012
Learning Invariant Representations of Molecules for Atomization Energy Prediction
NeurIPS 2012