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Bioinformatics

638 directly classified papers

Papers per year

Papers

Graphical Models via Generalized Linear Models NIPS 2012
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction NIPS 2012
Structured Learning for Cell Tracking NIPS 2011
Modelling Genetic Variations using Fragmentation-Coagulation Processes NIPS 2011
Computationally Efficient Convolved Multiple Output Gaussian Processes JMLR 2011
Efficient inference in matrix-variate Gaussian models with \iid observation noise NIPS 2011
Inferring Interaction Networks using the IBP applied to microRNA Target Prediction NIPS 2011
Learning from positive and unlabeled examples by enforcing statistical significance AISTATS 2011
Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation NIPS 2011
A Global Structural EM Algorithm for a Model of Cancer Progression NIPS 2011
Penalized Principal Component Regression on Graphs for Analysis of Subnetworks NIPS 2010
Probabilistic Multi-Task Feature Selection NIPS 2010
Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks NIPS 2010
Brain covariance selection: better individual functional connectivity models using population prior NIPS 2010
Dense Message Passing for Sparse Principal Component Analysis AISTATS 2010
A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra AISTATS 2010
Infinite Relational Modeling of Functional Connectivity in Resting State fMRI NIPS 2010
Sparse Instrumental Variables (SPIV) for Genome-Wide Studies NIPS 2010
Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization NIPS 2010
Adaptive Multi-Task Lasso: with Application to eQTL Detection NIPS 2010
Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings NIPS 2010
Variational Inference over Combinatorial Spaces NIPS 2010
Exact inference and learning for cumulative distribution functions on loopy graphs NIPS 2010
Approximate parameter inference in a stochastic reaction-diffusion model AISTATS 2010
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks AISTATS 2010