Qin Ma

Molecular Biology · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 88 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Genetics — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Qin Ma trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Peter J. Rousseeuw (in Evaluation & Benchmarks)
2. Gordon K. Smyth (in Molecular Biology)
3. Teuvo Kohonen (in Representation & Self-Supervised Learning)
4. Andrew P. Bradley (in Evaluation & Benchmarks)

Papers from Qin Ma's perspective

Ordered by how strongly the researchers Qin Ma trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
3. Regression Shrinkage and Selection via the Lasso
4. Learning representations by back-propagating errors
5. Visualizing Data using t-SNE
6. Controlling the false discovery rate: a practical and powerful approach to multiple testing
7. Estimating the Dimension of a Model
8. A training algorithm for optimal margin classifiers
9. Ridge Regression: Biased Estimation for Nonorthogonal Problems
10. From the Cover: Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

Their papers

• Metabolomics and Multi-Omics Integration: A Survey of Computational Methods and Resources (2020) — 128 citations
• scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses (2021) — 446 citations