Yuanfang Guan
Orcid: 0000-0001-8275-2852
According to our database1,
Yuanfang Guan
authored at least 44 papers
between 2008 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Computational approaches for detecting disease-associated alternative splicing events.
Briefings Bioinform., May, 2023
A Machine Learning Approach to Real-World Time to Treatment Discontinuation Prediction.
Adv. Intell. Syst., April, 2023
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data.
CoRR, 2023
2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Micro-dissection and integration of long and short reads to create a robust catalog of kidney compartment-specific isoforms.
PLoS Comput. Biol., 2022
Nat. Mach. Intell., 2022
TissueNexus: a database of human tissue functional gene networks built with a large compendium of curated RNA-seq data.
Nucleic Acids Res., 2022
An integrated brain-specific network identifies genes associated with neuropathologic and clinical traits of Alzheimer's disease.
Briefings Bioinform., 2022
Adv. Intell. Syst., 2022
2021
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge.
npj Digit. Medicine, 2021
Nat. Comput. Sci., 2021
Deep learning prediction of patient response time course from early data via neural-pharmacokinetic/pharmacodynamic modelling.
Nat. Mach. Intell., 2021
Int. J. Comput. Biol. Drug Des., 2021
Comparative analysis of molecular fingerprints in prediction of drug combination effects.
Briefings Bioinform., 2021
Proceedings of the NeurIPS 2022 Competition Track, 2021
2020
Patterns, 2020
Deep learning prediction of patient response time course from early data via neural-pharmacokinetic/pharmacodynamic modeling.
CoRR, 2020
2019
Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering.
Neuroinformatics, 2019
CoRR, 2019
TAIJI: approaching experimental replicates-level accuracy for drug synergy prediction.
Bioinform., 2019
BaiHui: cross-species brain-specific network built with hundreds of hand-curated datasets.
Bioinform., 2019
2018
YAMDA: thousandfold speedup of EM-based motif discovery using deep learning libraries and GPU.
Bioinform., 2018
Prioritizing predictive biomarkers for gene essentiality in cancer cells with mRNA expression data and DNA copy number profile.
Bioinform., 2018
2017
PLoS Comput. Biol., 2017
2016
Algorithms for modeling global and context-specific functional relationship networks.
Briefings Bioinform., 2016
A proteogenomic approach to understand splice isoform functions through sequence and expression-based computational modeling.
Briefings Bioinform., 2016
2015
Regulatory network inferred using expression data of small sample size: application and validation in erythroid system.
Bioinform., 2015
MIsoMine: a genome-scale high-resolution data portal of expression, function and networks at the splice isoform level in the mouse.
Database J. Biol. Databases Curation, 2015
2014
Modeling dynamic functional relationship networks and application to <i>ex vivo</i> human erythroid differentiation.
Bioinform., 2014
Bioinform., 2014
2013
Functional Knowledge Transfer for High-accuracy Prediction of Under-studied Biological Processes.
PLoS Comput. Biol., 2013
Systematically Differentiating Functions for Alternatively Spliced Isoforms through Integrating RNA-seq Data.
PLoS Comput. Biol., 2013
2012
PLoS Comput. Biol., 2012
IMP: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks.
Nucleic Acids Res., 2012
2010
PLoS Comput. Biol., 2010
Functional Genomics Complements Quantitative Genetics in Identifying Disease-Gene Associations.
PLoS Comput. Biol., 2010
2008