Style | Citing Format |
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MLA | Fatehi R, et al.. "Time-Series Bioinformatics Analysis of Sars-Cov-Infected Cells to Identify the Biological Processes Associated With Severe Acute Respiratory Syndrome." Human Antibodies, vol. 31, no. 4, 2024, pp. 81-88. |
APA | Fatehi R, Khosravian F, Salehi M, Kazemi M (2024). Time-Series Bioinformatics Analysis of Sars-Cov-Infected Cells to Identify the Biological Processes Associated With Severe Acute Respiratory Syndrome. Human Antibodies, 31(4), 81-88. |
Chicago | Fatehi R, Khosravian F, Salehi M, Kazemi M. "Time-Series Bioinformatics Analysis of Sars-Cov-Infected Cells to Identify the Biological Processes Associated With Severe Acute Respiratory Syndrome." Human Antibodies 31, no. 4 (2024): 81-88. |
Harvard | Fatehi R et al. (2024) 'Time-Series Bioinformatics Analysis of Sars-Cov-Infected Cells to Identify the Biological Processes Associated With Severe Acute Respiratory Syndrome', Human Antibodies, 31(4), pp. 81-88. |
Vancouver | Fatehi R, Khosravian F, Salehi M, Kazemi M. Time-Series Bioinformatics Analysis of Sars-Cov-Infected Cells to Identify the Biological Processes Associated With Severe Acute Respiratory Syndrome. Human Antibodies. 2024;31(4):81-88. |
BibTex | @article{ author = {Fatehi R and Khosravian F and Salehi M and Kazemi M}, title = {Time-Series Bioinformatics Analysis of Sars-Cov-Infected Cells to Identify the Biological Processes Associated With Severe Acute Respiratory Syndrome}, journal = {Human Antibodies}, volume = {31}, number = {4}, pages = {81-88}, year = {2024} } |
RIS | TY - JOUR AU - Fatehi R AU - Khosravian F AU - Salehi M AU - Kazemi M TI - Time-Series Bioinformatics Analysis of Sars-Cov-Infected Cells to Identify the Biological Processes Associated With Severe Acute Respiratory Syndrome JO - Human Antibodies VL - 31 IS - 4 SP - 81 EP - 88 PY - 2024 ER - |