Preface |
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PATTERN RECOGNITION IN BIOMEDICAL DATA: CHALLENGES IN PUTTING BIG DATA TO WORK |
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1 | (7) |
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Learning Contextual Hierarchical Structure of Medical Concepts with Poincaire Embeddings to Clarify Phenotypes |
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8 | (10) |
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The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data |
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18 | (12) |
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ODAL: A one-shot distributed algorithm to perform logistic regressions on electronic health records data from multiple clinical sites |
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30 | (12) |
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PVC Detection Using a Convolutional Autoencoder and Random Forest Classifier |
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42 | (12) |
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Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications |
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54 | (12) |
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DeepDom: Predicting protein domain boundary from sequence alone using stacked bidirectional LSTM |
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66 | (10) |
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Res2s2aM: Deep residual network-based model for identifying functional noncoding SNPs in trait-associated regions |
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76 | (12) |
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DNA Steganalysis Using Deep Recurrent Neural Networks |
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88 | (12) |
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Bi-directional Recurrent Neural Network Models for Geographic Location Extraction in Biomedical Literature |
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100 | (12) |
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Graciela Gonzalez-Hernandez |
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Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning |
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112 | (12) |
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Estimating classification accuracy in positive-unlabeled learning: characterization and correction strategies |
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124 | (12) |
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PLA TYPUS: A Multiple-View Learning Predictive Framework for Cancer Drug Sensitivity Prediction |
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136 | (12) |
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Computational KIR copy number discovery reveals interaction between inhibitory receptor burden and survival |
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148 | (12) |
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Exploring microRNA Regulation of Cancer with Context-Aware Deep Cancer Classifier |
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160 | (12) |
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Implementing and Evaluating A Gaussian Mixture Framework for Identifying Gene Function from TnSeq Data |
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172 | (12) |
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SNPs2ChIP: Latent Factors of ChIP-seq to infer functions of non-coding SNPs |
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184 | (12) |
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Extracting allelic read counts from 250,000 human sequencing runs in Sequence Read Archive |
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196 | (12) |
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Semantic workflows for benchmark challenges: Enhancing comparability, reusability and reproducibility |
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208 | (12) |
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PRECISION MEDICINE: IMPROVING HEALTH THROUGH HIGH-RESOLUTION ANALYSIS OF PERSONAL DATA |
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220 | (4) |
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CrowdVariant: a crowdsourcing approach to classify copy number variants |
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224 | (12) |
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A repository of microbial marker genes related to human health and diseases for host phenotype prediction using microbiome data |
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236 | (12) |
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AICM: A Genuine Framework for Correcting Inconsistency Between Large Pharmacogenomics Datasets |
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248 | (12) |
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Oulgroup Machine Learning Approach Identifies Single Nucleotide Variants in Noncoding DNA Associated with Autism Spectrum Disorder |
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260 | (12) |
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Peter Yigitcan Washington |
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Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate. and multivariate methods on 43,870 individuals from the eMERGE network |
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272 | (12) |
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Integrating RNA expression and visual features for immune infiltrate prediction |
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284 | (12) |
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Influence of tissue context on gene prioritization for predicted transcriptome-wide association studies |
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296 | (12) |
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Precision drug repurposing via convergent eQTL-based molecules and pathway targeting independent disease-associated polymorphisms |
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308 | (12) |
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An Optimal Policy for Patient Laboratory Tests in Intensive Care Units |
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320 | (12) |
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SINGLE CELL ANALYSIS, WHAT IS IN THE FUTURE? |
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332 | (6) |
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LISA: Accurate reconstruction of cell trajectory and pseudo-time for massive single cell RNA-seq data |
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338 | (12) |
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Topological Methods for Visualization and Analysis of High Dimensional Single-Cell RNA Sequencing Data |
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350 | (12) |
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Parameter tuning is a key part of dimensionality reduction via deep variational autoencoders for single cell RNA transcriptomics |
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362 | (12) |
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Shallow Sparsely-Connected Autoencoders for Gene Set Projection |
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374 | (12) |
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WHEN BIOLOGY GETS PERSONAL: HIDDEN CHALLENGES OF PRIVACY AND ETHICS IN BIOLOGICAL BIG DATA |
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386 | (5) |
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Leveraging summary' statistics to make inferences about complex phenotypes in large biobanks |
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391 | (12) |
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Protecting Genomic Data Privacy with Probabilistic Modeling |
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403 | (12) |
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Evaluation of patient re-identification using laboratory test orders and mitigation via latent space variables |
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415 | (12) |
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Implementing a universal informed consent process for the All of Us Research Program |
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427 | (12) |
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Merging heterogeneous clinical data to enable knowledge discovery |
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439 | (5) |
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Reading between the genes: interpreting non-coding DNA in high-throughput |
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444 | (5) |
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Text Mining and Machine Learning for Precision Medicine |
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449 | (6) |
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Translational informatics of population Health: How large biomolecular and clinical datasets unite |
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455 | |
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