Siliang Li
Molecular Biology · 2012–2020
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Molecular Biology — 56 citations into it; #17,394 of 17,773 by trust here, #10,695 by citations
Whom Siliang Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Siliang Li overall
Papers from Siliang Li's perspective
Ordered by how strongly the researchers Siliang Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Scikit-learn: Machine Learning in Python
- ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data
- The potential and challenges of nanopore sequencing (Nature Biotechnology)
- Genome-Wide Mapping of in Vivo Protein-DNA Interactions (Science)
- Accuracy and quality of massively parallel DNA pyrosequencing (Genome Biology)
- Signatures of mutational processes in human cancer (Nature)
- COSMIC: somatic cancer genetics at high-resolution (Nucleic Acids Res.)
- RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. (Genome Research)
- Solution Hybrid Selection with Ultra-long Oligonucleotides for Massively Parallel Targeted Sequencing (Nature Biotechnology)
- Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses
Their papers
- Comparison of Next-Generation Sequencing Systems (2012) — 1,646 citations
- Genomic basis for RNA alterations in cancer (2020) — 354 citations