Research Papers
Paper 1: Optimizing mRNA sequencing process of Oral Squamous Cell Carcinoma
Description
- Title: Optimizing mRNA sequencing process of Oral Squamous Cell Carcinoma for FFPE samples
- Journal: Biomedical Research and Therapy
- Volume: 10(10)
- Pages: 5987–5993
- DOI: 10.15419/bmrat.v10i10.840
References in Various Formats
APA Style
Duong, H., Pham, P., Tran, N., Huynh, P., Hoang, H., Dang, T., Thai, T., Nguyen, C., & Huynh, N. (2023). Optimizing RNA extraction and library preparation from oral squamous cell carcinoma FFPE samples for next-generation RNA sequencing. Biomedical Research and Therapy, 10(10), 5987-5994. https://doi.org/10.15419/bmrat.v10i10.840
MLA Style
Duong, H., P. Pham, N. Tran, P. Huynh, H. Hoang, T. Dang, T. Thai, C. Nguyen, and N. Huynh. “Optimizing RNA Extraction and Library Preparation from Oral Squamous Cell Carcinoma FFPE Samples for Next-Generation RNA Sequencing”. Biomedical Research and Therapy, Vol. 10, no. 10, Oct. 2023, pp. 5987-94, doi:10.15419/bmrat.v10i10.840.
Chicago Style
Duong, Huong, Phuong Pham, Nam Tran, Phuong Huynh, Hung Hoang, Thinh Dang, Tu Thai, Chi Nguyen, and Nam Huynh. 2023. “Optimizing RNA Extraction and Library Preparation from Oral Squamous Cell Carcinoma FFPE Samples for Next-Generation RNA Sequencing”. Biomedical Research and Therapy 10 (10), 5987-94. https://doi.org/10.15419/bmrat.v10i10.840.
Paper 2: Identify characteristics of Vietnamese Oral Squamous Cell Carcinoma patients
Description
- Title: Identify characteristics of Vietnamese oral squamous cell carcinoma patients by machine learning on transcriptome and clinical-histopathological analysis
- Journal: Journal of Dental Science
- Volume: 19, Supplement 1
- Year: December 2024
- Pages: S81-S90
- DOI: 10.1016/j.jds.2024.08.013
References in Various Formats
APA Style
Duong, H. T., Huynh, N. C.-N., Nguyen, C. T.-K., Le, L. G.-H., Nguyen, K. D., Nguyen, H. T., Tu, L. N.-L., Tran, N. H.-B., Giang, H., Nguyen, H.-N., Ho, C. Q., Hoang, H. T., Dang, T. H.-Q., Thai, T. A., & Cao, D. V. (2024). Identify characteristics of Vietnamese oral squamous cell carcinoma patients by machine learning on transcriptome and clinical-histopathological analysis. Journal of Dental Sciences, S1991790224002757. https://doi.org/10.1016/j.jds.2024.08.013
MLA Style
Duong, Huong Thu, Nam Cong-Nhat Huynh, Chi Thi-Kim Nguyen, Linh Gia-Hoang Le, Khoa Dang Nguyen, Hieu Trong Nguyen, Lan Ngoc-Ly Tu, et al. “Identify Characteristics of Vietnamese Oral Squamous Cell Carcinoma Patients by Machine Learning on Transcriptome and Clinical-Histopathological Analysis.” Journal of Dental Sciences, August 2024, S1991790224002757. https://doi.org/10.1016/j.jds.2024.08.013.
Chicago Style
Duong, Huong Thu, Nam Cong-Nhat Huynh, Chi Thi-Kim Nguyen, Linh Gia-Hoang Le, Khoa Dang Nguyen, Hieu Trong Nguyen, Lan Ngoc-Ly Tu, et al. “Identify Characteristics of Vietnamese Oral Squamous Cell Carcinoma Patients by Machine Learning on Transcriptome and Clinical-Histopathological Analysis.” Journal of Dental Sciences, August 2024, S1991790224002757. https://doi.org/10.1016/j.jds.2024.08.013.