Hung-Ming Lai
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View article: Extended endocrine therapy in breast cancer: A basket of length-constraint feature selection metaheuristics to balance Type I against Type II errors
Extended endocrine therapy in breast cancer: A basket of length-constraint feature selection metaheuristics to balance Type I against Type II errors Open
Extended endocrine therapy beyond 5 years is of major concern to ER + breast cancer survivors. However, it might be unsuitable to apply routinely used genomic tests designed for early recurrence risks to distant recurrence within 10 years …
View article: A Qualitative Transcriptional Signature for Predicting Recurrence Risk of Stage I–III Bladder Cancer Patients After Surgical Resection
A Qualitative Transcriptional Signature for Predicting Recurrence Risk of Stage I–III Bladder Cancer Patients After Surgical Resection Open
Background: Previously reported transcriptional signatures for predicting the prognosis of stage I-III bladder cancer (BLCA) patients after surgical resection are commonly based on risk scores summarized from quantitative measuremen…
View article: A robust qualitative transcriptional signature for the correct pathological diagnosis of gastric cancer
A robust qualitative transcriptional signature for the correct pathological diagnosis of gastric cancer Open
View article: MOESM4 of A robust qualitative transcriptional signature for the correct pathological diagnosis of gastric cancer
MOESM4 of A robust qualitative transcriptional signature for the correct pathological diagnosis of gastric cancer Open
Additional file 4. The REOs of the top gene pairs. The distributions of REOs of the top six gene pairs in each of the training datasets.
View article: MOESM6 of A robust qualitative transcriptional signature for the correct pathological diagnosis of gastric cancer
MOESM6 of A robust qualitative transcriptional signature for the correct pathological diagnosis of gastric cancer Open
Additional file 6. The REOs of the signature gene pairs. The distributions of REOs of the signature gene pairs in each of the validation datasets.
View article: Proofreading and DNA Repair Assay Using Single Nucleotide Extension and MALDI-TOF Mass Spectrometry Analysis
Proofreading and DNA Repair Assay Using Single Nucleotide Extension and MALDI-TOF Mass Spectrometry Analysis Open
The maintenance of the genome and its faithful replication is paramount for conserving genetic information. To assess high fidelity replication, we have developed a simple non-labeled and non-radio-isotopic method using a matrix-assisted l…
View article: iRDA: a new filter towards predictive, stable, and enriched candidate genes
iRDA: a new filter towards predictive, stable, and enriched candidate genes Open
View article: Additional file 5 of iRDA: a new filter towards predictive, stable, and enriched candidate genes
Additional file 5 of iRDA: a new filter towards predictive, stable, and enriched candidate genes Open
Table S5. Candidate genes. The file provides all the candidate genes selected by four filters over eleven datasets to be evaluated in Figs. 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22 and 23. (XLSX 36 kb)
View article: Additional file 6 of iRDA: a new filter towards predictive, stable, and enriched candidate genes
Additional file 6 of iRDA: a new filter towards predictive, stable, and enriched candidate genes Open
Table S6. Collapsed Genes. The file is a supplement to Table 9 to provide all the collapsed genes over six cancer benchmarks for GSEA. (XLSX 15 kb)
View article: Additional file 2 of iRDA: a new filter towards predictive, stable, and enriched candidate genes
Additional file 2 of iRDA: a new filter towards predictive, stable, and enriched candidate genes Open
Table S2. Parsimonious gene sets of error performance. The file provides all the gene sets of four filters over eleven datasets based on generalisation error rate from Tables 3 and 7. (XLSX 19 kb)
View article: Additional file 7 of iRDA: a new filter towards predictive, stable, and enriched candidate genes
Additional file 7 of iRDA: a new filter towards predictive, stable, and enriched candidate genes Open
Table S7. GSEA Results. The file provides the details of all the enrichment groups and genes summarised in Table 10. (XLSX 29 kb)
View article: Additional file 1 of iRDA: a new filter towards predictive, stable, and enriched candidate genes
Additional file 1 of iRDA: a new filter towards predictive, stable, and enriched candidate genes Open
Table S1. Data repositories. The file provides data repositories of seven cancer benchmarks summarised in Table 2. (XLSX 10 kb)
View article: Additional file 4 of iRDA: a new filter towards predictive, stable, and enriched candidate genes
Additional file 4 of iRDA: a new filter towards predictive, stable, and enriched candidate genes Open
Table S4. Parsimonious gene sets of MCC performance. The file provides all the gene sets of four filters over eleven datasets based on MCC measurement from Tables 5 and 7. (XLSX 19 kb)
View article: Additional file 3 of iRDA: a new filter towards predictive, stable, and enriched candidate genes
Additional file 3 of iRDA: a new filter towards predictive, stable, and enriched candidate genes Open
Table S3. Parsimonious gene sets of AUC performance. The file provides all the gene sets of four filters over eleven datasets based on AUC measurement from Tables 4 and 7. (XLSX 20 kb)