AIMC Topic: Kruppel-Like Transcription Factors

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Identifying Biomarkers of Hepatocellular Carcinoma Based on Gene Co-Expression Network from High-Throughput Data.

Studies in health technology and informatics Jan 1, 2017
In this paper, we proposed an approach systematically based on the use of gene co-expression network analyses to identify potential biomarkers for Hepatocellular Carcinoma (HCC). With the analysis of differential gene expression, we first selected ca...
Humans Biomarkers Gene Expression Profiling Liver Neoplasms Carcinoma, Hepatocellular Gene Regulatory Networks Kruppel-Like Factor 4 Kruppel-Like Transcription Factors
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Prediction and Identification of Krüppel-Like Transcription Factors by Machine Learning Method.

Combinatorial chemistry & high throughput screening Jan 1, 2017
AIM AND OBJECTIVE: The Krüppel-like factors (KLFs) are a family of containing Zn finger(ZF) motif transcription factors with 18 members in human genome, among them, KLF18 is predicted by bioinformatics. KLFs possess various physiological function inv...
Humans Machine Learning Databases, Protein Amino Acids Kruppel-Like Transcription Factors Zinc Fingers
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