Yifeng Tao
Orcid: 0000-0001-5076-0081
According to our database1,
Yifeng Tao
authored at least 14 papers
between 2018 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
Genome-Driven Personalized Medicine of Cancer via Machine Learning and Phylogenetic Models
PhD thesis, 2023
2022
A GRU and AKF-Based Hybrid Algorithm for Improving INS/GNSS Navigation Accuracy during GNSS Outage.
Remote. Sens., 2022
Semi-deconvolution of bulk and single-cell RNA-seq data with application to metastatic progression in breast cancer.
Bioinform., 2022
Reconstructing tumor clonal lineage trees incorporating single-nucleotide variants, copy number alterations and structural variations.
Bioinform., 2022
2021
Assessing the contribution of tumor mutational phenotypes to cancer progression risk.
PLoS Comput. Biol., 2021
Joint Clustering of Single-Cell Sequencing and Fluorescence In Situ Hybridization Data for Reconstructing Clonal Heterogeneity in Cancers.
J. Comput. Biol., 2021
Tumor heterogeneity assessed by sequencing and fluorescence in situ hybridization (FISH) data.
Bioinform., 2021
2020
A LSTM Algorithm Estimating Pseudo Measurements for Aiding INS during GNSS Signal Outages.
Remote. Sens., 2020
Robust and accurate deconvolution of tumor populations uncovers evolutionary mechanisms of breast cancer metastasis.
Bioinform., 2020
From Genome to Phenome: Predicting Multiple Cancer Phenotypes Based on Somatic GenomicAlterations via the Genomic Impact Transformer.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020
Predicting Drug Sensitivity of Cancer Cell Lines via Collaborative Filtering with Contextual Attention.
Proceedings of the Machine Learning for Healthcare Conference, 2020
2019
Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019
Phylogenies Derived from Matched Transcriptome Reveal the Evolution of Cell Populations and Temporal Order of Perturbed Pathways in Breast Cancer Brain Metastases.
Proceedings of the Mathematical and Computational Oncology - First International Symposium, 2019
2018