Xiangqi Bai

Publications7
h-index2
Citations21
Highly Influential Citations3
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Unsupervised Topological Alignment for Single-Cell Multi-Omics Integration
TLDR
We present a novel algorithm, termed UnionCom, for the unsupervised topological alignment of single-cell multi-omics integration. Expand
  • 10
  • 2
DensityPath: an algorithm to visualize and reconstruct cell state-transition path on density landscape for single-cell RNA sequencing data
TLDR
We propose DensityPath, an algorithm allowing 1) visualization of the intrinsic structure of scRNA-seq data on an embedded 2-d space and 2) reconstruction of an optimal cell state-transition path on the density landscape. Expand
  • 7
  • 1
  • PDF
DensityPath: a level-set algorithm to visualize and reconstruct cell developmental trajectories for large-scale single-cell RNAseq data
TLDR
We introduce a novel algorithm, DensityPath, which visualizes and reconstructs the underlying cell developmental trajectories for large-scale scRNAseq data elegantly and accurately. Expand
  • 1
Joint Inference of Clonal Structure using Single-cell Genome and Transcriptome Sequencing Data
Latest developments in high-throughput single-cell genome (scDNA-) and transcriptome sequencing (scRNA-seq) technologies enabled cell-resolved investigation of tissue clones. However, it remains… Expand
  • 1
A Branch Point on Differentiation Trajectory is the Bifurcating Event Revealed by Dynamical Network Biomarker Analysis of Single-Cell Data
  • Z. Chen, Xiangqi Bai, +5 authors L. Wan
  • Computer Science, Medicine
  • IEEE/ACM Transactions on Computational Biology…
  • 1 March 2020
TLDR
We study the pseudo temporal trajectories reconstructed by Wishbone and diffusion pseudotime analysis (DPT) algorithms, as well as the simulated trajectory. Expand
Unsupervised topological alignment for single-cell multi-omics integration
TLDR
We present a novel algorithm, termed UnionCom, for the unsupervised topological alignment of single-cell multi-omics integration. Expand
  • 2
  • PDF
Statistical test of structured continuous trees based on discordance matrix
TLDR
We propose an adaptive statistical framework, termed structured continuous tree (SCTree), to test the intrinsic structure of a high-dimensional single-cell dataset. Expand