User profiles for Dongshunyi Li
Dongshunyi "Dora" LICarnegie Mellon university Verified email at andrew.cmu.edu Cited by 98 |
SCS: cell segmentation for high-resolution spatial transcriptomics
Spatial transcriptomics promises to greatly improve our understanding of tissue organization
and cell–cell interactions. While most current platforms for spatial transcriptomics only offer …
and cell–cell interactions. While most current platforms for spatial transcriptomics only offer …
Identifying signaling genes in spatial single-cell expression data
Motivation Recent technological advances enable the profiling of spatial single-cell
expression data. Such data present a unique opportunity to study cell–cell interactions and the …
expression data. Such data present a unique opportunity to study cell–cell interactions and the …
[HTML][HTML] TraSig: inferring cell-cell interactions from pseudotime ordering of scRNA-Seq data
A major advantage of single cell RNA-sequencing (scRNA-Seq) data is the ability to reconstruct
continuous ordering and trajectories for cells. Here we present TraSig, a computational …
continuous ordering and trajectories for cells. Here we present TraSig, a computational …
Quantifying the impact of non-coding variants on transcription factor-DNA binding
Many recent studies have emphasized the importance of genetic variants and mutations in
cancer and other complex human diseases. The overwhelming majority of these variants …
cancer and other complex human diseases. The overwhelming majority of these variants …
Unsupervised cell functional annotation for single-cell RNA-seq
One of the first steps in the analysis of single-cell RNA sequencing (scRNA-seq) data is the
assignment of cell types. Although a number of supervised methods have been developed …
assignment of cell types. Although a number of supervised methods have been developed …
Unifan: A tool for unsupervised single-cell clustering and annotation
D Li, J Ding, Z Bar-Joseph - Journal of Computational Biology, 2022 - liebertpub.com
UNIFAN is an unsupervised cell type annotation tool for single-cell RNA sequencing data (scRNA-seq).
Given single-cell expression data as input, UNIFAN outputs cell clusters as well …
Given single-cell expression data as input, UNIFAN outputs cell clusters as well …
Inferring cell-cell interactions from pseudotime ordering of scRNA-Seq data
A major advantage of single cell RNA-Sequencing (scRNA-Seq) data is the ability to reconstruct
continuous ordering and trajectories for cells. To date, such ordering was mainly used to …
continuous ordering and trajectories for cells. To date, such ordering was mainly used to …
[PDF][PDF] Deep generative model for harmonizing time-series scRNA-seq data
DD Li, HW Kim - sailinglab.github.io
Starting from progenitor cells, cells can develop into many different types. For example, lung
progenitor cells can develop into epithelial cells, muscle cells or immune cells. Various …
progenitor cells can develop into epithelial cells, muscle cells or immune cells. Various …
Gene cloning and prokaryotic expression of MSTN cDNA in big bone chicken embryo.
…, YXY Yang XiaoYu, DSY Dong ShunYi - 2009 - cabidigitallibrary.org
Reverse transcriptase-polymerase chain reaction (RT-PCR) was used to study the expression
of myostatin. It was show that there were two myostatin gene transcriptions of varied sizes …
of myostatin. It was show that there were two myostatin gene transcriptions of varied sizes …
[HTML][HTML] Author Correction: Advances and prospects for the Human BioMolecular Atlas Program (HuBMAP)
… Ziv Bar-Joseph, Haoran Chen, Monica Dayao, Sean Donahue, Carl Kingsford, Vladimir
Kiselev, Dongshunyi Li, Xinyue Lu, Jian Ma, Bob (Robert) Murphy, Nam Nguyen, Allyson …
Kiselev, Dongshunyi Li, Xinyue Lu, Jian Ma, Bob (Robert) Murphy, Nam Nguyen, Allyson …