Michael Snyder
Orcid: 0000-0003-0784-7987Affiliations:
- Stanford University School of Medicine, Stanford, CA, USA
- Yale University, Department of Molecular, Cellular and Developmental Biology, New Haven, CT, USA (former)
According to our database1,
Michael Snyder
authored at least 71 papers
between 2000 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Correction: Digital health application integrating wearable data and behavioral patterns improves metabolic health.
npj Digit. Medicine, 2024
2023
Biomonitoring and precision health in deep space supported by artificial intelligence.
Nat. Mac. Intell., March, 2023
Biological research and self-driving labs in deep space supported by artificial intelligence.
Nat. Mac. Intell., March, 2023
Digital health application integrating wearable data and behavioral patterns improves metabolic health.
npj Digit. Medicine, 2023
Proceedings of the Machine Learning for Multimodal Healthcare Data, 2023
Self-Supervised Learning to Improve Topology-Optimized Axon Segmentation and Centerline Detection.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
CliniDigest: A Case Study in Large Language Model Based Large-Scale Summarization of Clinical Trial Descriptions.
Proceedings of the 2023 ACM Conference on Information Technology for Social Good, 2023
2022
Patterns, 2022
A method for intelligent allocation of diagnostic testing by leveraging data from commercial wearable devices: a case study on COVID-19.
npj Digit. Medicine, 2022
massDatabase: utilities for the operation of the public compound and pathway database.
Bioinform., 2022
Bioinform., 2022
Bioinform., 2022
Deep learning-based pseudo-mass spectrometry imaging analysis for precision medicine.
Briefings Bioinform., 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
PLoS Comput. Biol., 2021
Nucleic Acids Res., 2021
Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs.
CoRR, 2021
Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health.
CoRR, 2021
Benchmarking workflows to assess performance and suitability of germline variant calling pipelines in clinical diagnostic assays.
BMC Bioinform., 2021
AdaTiSS: a novel data-Adaptive robust method for identifying Tissue Specificity Scores.
Bioinform., 2021
RobNorm: model-based robust normalization method for labeled quantitative mass spectrometry proteomics data.
Bioinform., 2021
Hummingbird: efficient performance prediction for executing genomic applications in the cloud.
Bioinform., 2021
Heart Rate and CGM Feature Representation Diabetes Detection From Heart Rate: Learning Joint Features of Heart Rate and Continuous Glucose Monitors Yields Better Representations.
IEEE Access, 2021
Predictive Signatures for Lung Adenocarcinoma Prognostic Trajectory by Multiomics Data Integration and Ensemble Learning.
Proceedings of the Mathematical and Computational Oncology - Third International Symposium, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Classifying non-small cell lung cancer types and transcriptomic subtypes using convolutional neural networks.
J. Am. Medical Informatics Assoc., 2020
Active Learning Pipeline for Brain Mapping in a High Performance Computing Environment.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020
2019
Nat., 2019
Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy.
Bioinform., 2019
Classifying Non-Small Cell Lung Cancer Histopathology Types and Transcriptomic Subtypes using Convolutional Neural Networks.
Proceedings of the AMIA 2019, 2019
2018
Omics AnalySIs System for PRecision Oncology (OASISPRO): a web-based omics analysis tool for clinical phenotype prediction.
Bioinform., 2018
Unraveling the Molecular Basis of Lung Adenocarcinoma Dedifferentiation and Prognosis by Integrating Omics and Histopathology.
Proceedings of the AMIA 2018, 2018
2017
Bioinform., 2017
Proceedings of the Research in Computational Molecular Biology, 2017
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017
Proceedings of the Summit on Clinical Research Informatics, 2017
Predicting Non-Small Cell Lung Cancer Diagnosis and Prognosis by Fully Automated Microscopic Pathology Image Features.
Proceedings of the AMIA 2017, 2017
2016
Systematic evaluation of the impact of ChIP-seq read designs on genome coverage, peak identification, and allele-specific binding detection.
BMC Bioinform., 2016
Proceedings of the 2016 AAAI Spring Symposia, 2016
2015
2014
Topologically associating domains are stable units of replication-timing regulation Open.
Nat., 2014
Comparative analysis of regulatory information and circuits across distant species Open.
Nat., 2014
Sushi.R: flexible, quantitative and integrative genomic visualizations for publication-quality multi-panel figures.
Bioinform., 2014
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014
2013
Clustering reveals ubiquitous heterogeneity and asymmetry of genomic signals at functional elements.
Tiny Trans. Comput. Sci., 2013
Quant. Biol., 2013
Metadata Checklist for the Integrated Personal Omics Study: <i>Proteomics and Metabolomics Experiments</i>.
Big Data, 2013
Toward More Transparent and Reproducible Omics Studies Through a Common Metadata Checklist and Data Publications.
Big Data, 2013
2012
Copy Number Variation detection from 1000 Genomes project exon capture sequencing data.
BMC Bioinform., 2012
VAT: a computational framework to functionally annotate variants in personal genomes within a cloud-computing environment.
Bioinform., 2012
Interpretome: A Freely Available, Modular, and Secure Personal Genome Interpretation Engine.
Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012
2011
Construction and Analysis of an Integrated Regulatory Network Derived from High-Throughput Sequencing Data.
PLoS Comput. Biol., 2011
RSEQtools: a modular framework to analyze RNA-Seq data using compact, anonymized data summaries.
Bioinform., 2011
2010
BMC Bioinform., 2010
2009
Integrating Sequencing Technologies in Personal Genomics: Optimal Low Cost Reconstruction of Structural Variants.
PLoS Comput. Biol., 2009
2008
2006
A supervised hidden markov model framework for efficiently segmenting tiling array data in transcriptional and chIP-chip experiments: systematically incorporating validated biological knowledge.
Bioinform., 2006
Design Issues in Implementing a Portable Sample Tracking and Analysis Research Support (STARS) System for PCR Based Microarray Research.
Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006
2005
Analysis of Genomic Tiling Microarrays for Transcript Mapping and the Identification of Transcription Factor Binding Sites.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2005
2004
Fast Optimal Genome Tiling with Applications to Microarray Design and Homology Search.
J. Comput. Biol., 2004
2003
Nucleic Acids Res., 2003
2002
Nucleic Acids Res., 2002
J. Biomed. Informatics, 2002
Proceedings of the AMIA 2002, 2002
2001
Proceedings of the 2nd IEEE International Symposium on Bioinformatics and Bioengineering, 2001
Proceedings of the AMIA 2001, 2001
2000
Nucleic Acids Res., 2000
Proceedings of the AMIA 2000, 2000