Tieliu Shi
Molecular Biology · 2010–2019
A researcher in the Science corpus: 7 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 166 citations into it
- Cancer Research — 51 citations into it
- Genetics — 18 citations into it
- Biophysics — 14 citations into it
- Immunology — 8 citations into it
- Plant Science — 5 citations into it
Whom Tieliu Shi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Tieliu Shi's perspective
Ordered by how strongly the researchers Tieliu Shi trusts endorse each paper. Same corpus, a different order for every researcher.
- Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells
- Droplet barcoding for single cell transcriptomics applied to embryonic stem cells (Cell)
- Computational and analytical challenges in single-cell transcriptomics (Nature reviews genetics)
- Massively parallel single cell RNA-Seq for marker-free decomposition of tissues into cell types (Science)
- Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells (Nature Biotechnology)
- Normalization of RNA-seq data using factor analysis of control genes or samples (Nature Biotechnology)
- Full-Length mRNA-Seq from single cell levels of RNA and individual circulating tumor cells (Nature Biotechnology)
- mRNA-Seq whole-transcriptome analysis of a single cell (Nature Methods)
- Alternative Isoform Regulation in Human Tissue Transcriptomes (Nature)
- Single-cell RNA-seq with Waterfall Reveals Molecular Cascades underlying Adult Neurogenesis (Cell Stem Cell)
Their papers
- A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control consortium (2014) — 938 citations
- A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data (2010) — 319 citations
- TCMID: traditional Chinese medicine integrative database for herb molecular mechanism analysis (2012) — 551 citations
- The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models (2010) — 549 citations
- TCMID 2.0: a comprehensive resource for TCM (2017) — 353 citations
- Proteomics identifies new therapeutic targets of early-stage hepatocellular carcinoma (2019) — 771 citations
- Single-Cell RNA-Seq Technologies and Related Computational Data Analysis (2019) — 803 citations