Ming-Chung Li
Molecular Biology · 2007–2021
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 35 citations into it
Whom Ming-Chung Li trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard M. Simon (in Molecular Biology)
Papers from Ming-Chung Li's perspective
Ordered by how strongly the researchers Ming-Chung Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Multiclass cancer diagnosis using tumor gene expression signatures (Proceedings of the National Academy of Sciences of the United States of America)
- Pattern Recognition and Neural Networks
- Diagnosis of multiple cancer types by shrunken centroids of gene expression
- Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences
- Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation. (Nucleic Acids Research)
- Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package (Nucleic Acids Research)
- Selection bias in gene extraction on the basis of microarray gene-expression data (Proceedings of the National Academy of Sciences of the United States of America)
- Controlling the number of false discoveries: application to high-dimensional genomic data
- A Paradigm for Class Prediction Using Gene Expression Profiles (J. Comput. Biol.)
- A random variance model for detection of differential gene expression in small microarray experiments (Bioinform.)