Integrating longitudinal clinical and microbiome data to predict growth faltering in preterm infants | 0 | 0.34 | 2022 |
Unsupervised Cell Functional Annotation for Single-Cell RNA-Seq | 0 | 0.34 | 2022 |
Clustering spatial transcriptomics data | 0 | 0.34 | 2022 |
The Epigenetic Consensus Problem. | 0 | 0.34 | 2021 |
Identifying Signaling Genes In Spatial Single-Cell Expression Data | 0 | 0.34 | 2021 |
Dhaka: Variational Autoencoder For Unmasking Tumor Heterogeneity From Single Cell Genomic Data | 0 | 0.34 | 2021 |
Deep learning of gene relationships from single cell time-course expression data | 0 | 0.34 | 2021 |
Supervised Adversarial Alignment of Single-Cell RNA-seq Data. | 1 | 0.37 | 2020 |
Iterative point set registration for aligning scRNA-seq data | 0 | 0.34 | 2020 |
Inferring TF activation order in time series scRNA-Seq studies. | 0 | 0.34 | 2020 |
Continuous-state HMMs for modeling time-series single-cell RNA-Seq data | 0 | 0.34 | 2019 |
Deep Learning For Inferring Gene Relationships From Single-Cell Expression Data | 3 | 0.41 | 2019 |
The human body at cellular resolution: the NIH Human Biomolecular Atlas Program. | 0 | 0.34 | 2019 |
Integration of Heterogeneous Experimental Data Improves Global Map of Human Protein Complexes. | 0 | 0.34 | 2019 |
A bacterial based distributed gradient descent model for mass scale evacuations | 0 | 0.34 | 2019 |
Network-guided prediction of aromatase inhibitor response in breast cancer. | 0 | 0.34 | 2019 |
iDREM: Interactive visualization of dynamic regulatory networks. | 0 | 0.34 | 2018 |
Predicting protein targets for drug-like compounds using transcriptomics. | 0 | 0.34 | 2018 |
TASIC: determining branching models from time series single cell data. | 2 | 0.58 | 2017 |
Reconstructing cancer drug response networks using multitask learning. | 1 | 0.36 | 2017 |
MethRaFo: MeDIP-seq methylation estimate using a Random Forest Regressor. | 0 | 0.34 | 2017 |
Distributed Gradient Descent in Bacterial Food Search. | 0 | 0.34 | 2016 |
Genome wide predictions of miRNA regulation by transcription factors. | 0 | 0.34 | 2016 |
Reconstructing the temporal progression of HIV-1 immune response pathways. | 1 | 0.38 | 2016 |
Shall We Dense? Comparing Design Strategies for Time Series Expression Experiments. | 0 | 0.34 | 2016 |
SMARTS: reconstructing disease response networks from multiple individuals using time series gene expression data. | 0 | 0.34 | 2015 |
MassExodus: modeling evolving networks in harsh environments | 3 | 0.37 | 2015 |
cDREM: inferring dynamic combinatorial gene regulation. | 1 | 0.37 | 2015 |
Distributed information processing in biological and computational systems | 4 | 0.41 | 2015 |
Decreasing-Rate Pruning Optimizes the Construction of Efficient and Robust Distributed Networks | 2 | 0.39 | 2015 |
Multitask learning of signaling and regulatory networks with application to studying human response to flu. | 3 | 0.52 | 2014 |
Carbon catabolite repression correlates with the maintenance of near invariant molecular crowding in proliferating E. coli cells. | 4 | 0.43 | 2013 |
Integrating sequence, expression and interaction data to determine condition-specific miRNA regulation. | 11 | 0.63 | 2013 |
A high-throughput framework to detect synapses in electron microscopy images. | 4 | 0.49 | 2013 |
Identifying proteins controlling key disease signaling pathways. | 7 | 0.52 | 2013 |
A network-based approach for predicting missing pathway interactions. | 5 | 0.51 | 2012 |
Matching experiments across species using expression values and textual information. | 0 | 0.34 | 2012 |
DREM 2.0: Improved reconstruction of dynamic regulatory networks from time-series expression data. | 18 | 1.31 | 2012 |
DECOD: fast and accurate discriminative DNA motif finding. | 5 | 0.50 | 2011 |
Biological interaction networks are conserved at the module level. | 11 | 0.47 | 2011 |
MIS on the fly | 0 | 0.34 | 2011 |
Inferring Interaction Networks using the IBP applied to microRNA Target Prediction. | 4 | 0.45 | 2011 |
Beeping a maximal independent set | 20 | 0.81 | 2011 |
Learning cellular sorting pathways using protein interactions and sequence motifs. | 0 | 0.34 | 2011 |
Discriminative motif finding for predicting protein subcellular localization. | 8 | 0.51 | 2011 |
Cross species expression analysis of innate immune response. | 6 | 0.52 | 2010 |
Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings. | 0 | 0.34 | 2010 |
Cross-species queries of large gene expression databases. | 7 | 0.52 | 2010 |
A combined expression-interaction model for inferring the temporal activity of transcription factors. | 7 | 0.52 | 2009 |
Modeling spatial and temporal variation in motion data | 27 | 1.02 | 2009 |