📃Methods for reconstructing gene regulatory networks from single-cell transcriptomic data
📔 Journal: Вавиловский журнал генетики и селекц (Systems Computational Biology) - [I.F.=0.8]
🗓Publish year: 2024
🧑💻Authors: M. A. Rybakov , N. A. Omelyanchuk , E. V. Zemlyanskaya
🏢University: Novosibirsk State University, Russia
📎 Study the paper
📲Channel: @Bioinformatics
#review #gene #grn #single_cell
📔 Journal: Вавиловский журнал генетики и селекц (Systems Computational Biology) - [I.F.=0.8]
🗓Publish year: 2024
🧑💻Authors: M. A. Rybakov , N. A. Omelyanchuk , E. V. Zemlyanskaya
🏢University: Novosibirsk State University, Russia
📎 Study the paper
📲Channel: @Bioinformatics
#review #gene #grn #single_cell
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📃Methods for reconstructing gene regulatory networks from single-cell transcriptomic data
📔 Journal: Вавиловский журнал генетики и селекц (Systems Computational Biology) - [I.F.=0.8]
🗓Publish year: 2024
🧑💻Authors: M. A. Rybakov , N. A. Omelyanchuk , E. V. Zemlyanskaya
🏢University: Novosibirsk State University, Russia
📎 Study the paper
📲Channel: @Bioinformatics
#review #gene #grn #single_cell
📔 Journal: Вавиловский журнал генетики и селекц (Systems Computational Biology) - [I.F.=0.8]
🗓Publish year: 2024
🧑💻Authors: M. A. Rybakov , N. A. Omelyanchuk , E. V. Zemlyanskaya
🏢University: Novosibirsk State University, Russia
📎 Study the paper
📲Channel: @Bioinformatics
#review #gene #grn #single_cell
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