日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

High-fidelity in silico generation and augmentation of TCR repertoire data using generative adversarial networks

利用生成对抗网络进行高保真度计算机模拟生成和增强TCR库数据

Religa, Piotr; Mickael, Michel-Edwar; Kubick, Norwin; Horbańczuk, Jarosław Olav; Floretes, Nikko; Sacharczuk, Mariusz; Atanasov, Atanas G

Using Copy Number Variation Data and Neural Networks to Predict Cancer Metastasis Origin Achieves High Area under the Curve Value with a Trade-Off in Precision

利用拷贝数变异数据和神经网络预测癌症转移起源,虽然曲线下面积(AUC)值较高,但精确度有所降低。

Mickael, Michel-Edwar; Kubick, Norwin; Atanasov, Atanas G; Martinek, Petr; Horbańczuk, Jarosław Olav; Floretes, Nikko; Michal, Michael; Vanecek, Tomas; Paszkiewicz, Justyna; Sacharczuk, Mariusz; Religa, Piotr