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En-Min Li

Researcher at Laboratory of Molecular Biology

Publications -  42
Citations -  2099

En-Min Li is an academic researcher from Laboratory of Molecular Biology. The author has contributed to research in topics: Cancer & Autoantibody. The author has an hindex of 16, co-authored 42 publications receiving 1665 citations. Previous affiliations of En-Min Li include Harbin Medical University & Shantou University.

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Corrigendum: Genome-wide association study of esophageal squamous cell carcinoma in Chinese subjects identifies susceptibility loci at PLCE1 and C20orf54

Li-Dong Wang, +127 more
- 01 Sep 2014 - 
TL;DR: The authors now find no evidence to support association with esophageal squamous cell carcinoma susceptibility for rs13042395[T] at 20p13 in their original data, in two independent sets of cases and controls collected in other Chinese populations or in the joint analysis of these three studies.
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Joint analysis of three genome-wide association studies of esophageal squamous cell carcinoma in Chinese populations

Chen Wu, +166 more
- 01 Sep 2014 - 
TL;DR: This joint analysis identifies new ESCC susceptibility loci overall as well as a new locus unique to the population in the Taihang Mountain region at high risk of ESCC, which is a synonymous SNP in TMEM173 and an intronic SNP in ATP1B2.
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Autoantibodies as Potential Biomarkers for the Early Detection of Esophageal Squamous Cell Carcinoma.

TL;DR: Measurement of an autoantibody response to multiple tumor-associated antigens in an optimized panel assay, to help discriminate early-stage ESCC patients from normal controls, may aid in early detection of ESCC.
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CNIT: a fast and accurate web tool for identifying protein-coding and long non-coding transcripts based on intrinsic sequence composition

TL;DR: The original coding potential calculator was upgraded to CNIT (Coding-Non-Coding Identifying Tool), which provides faster and more accurate evaluation of the coding ability of RNA transcripts and was capable of obtaining relatively accurate identification results for almost all eukaryotic transcripts.