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

Hierarchical Quantum Embedding by Machine Learning for Large Molecular Assemblies

基于机器学习的分层量子嵌入方法在大型分子组装中的应用

Bensberg, Moritz; Eckhoff, Marco; Husistein, Raphael T; Teynor, Matthew S; Sora, Valentina; Bro-Jørgensen, William; Thomasen, F Emil; Krogh, Anders; Lindorff-Larsen, Kresten; Solomon, Gemma C; Weymuth, Thomas; Reiher, Markus

What Do Single-Cell Models Already Know About Perturbations?

单细胞模型对扰动已经了解多少?

Bjerregaard, Andreas; Prada-Luengo, Iñigo; Das, Vivek; Krogh, Anders

multiDGD: A versatile deep generative model for multi-omics data

multiDGD:一种用于多组学数据的通用深度生成模型

Schuster, Viktoria; Dann, Emma; Krogh, Anders; Teichmann, Sarah A

MOSAIC: An Artificial Intelligence-Based Framework for Multimodal Analysis, Classification, and Personalized Prognostic Assessment in Rare Cancers

MOSAIC:一种基于人工智能的罕见癌症多模态分析、分类和个性化预后评估框架

D'Amico, Saverio; Dall'Olio, Lorenzo; Rollo, Cesare; Alonso, Patricia; Prada-Luengo, Iñigo; Dall'Olio, Daniele; Sala, Claudia; Sauta, Elisabetta; Asti, Gianluca; Lanino, Luca; Maggioni, Giulia; Campagna, Alessia; Zazzetti, Elena; Delleani, Mattia; Bicchieri, Maria Elena; Morandini, Pierandrea; Savevski, Victor; Arroyo, Borja; Parras, Juan; Zhao, Lin Pierre; Platzbecker, Uwe; Diez-Campelo, Maria; Santini, Valeria; Fenaux, Pierre; Haferlach, Torsten; Krogh, Anders; Zazo, Santiago; Fariselli, Piero; Sanavia, Tiziana; Della Porta, Matteo Giovanni; Castellani, Gastone

N-of-one differential gene expression without control samples using a deep generative model

使用深度生成模型进行无对照样本的 N-of-1 差异基因表达分析

Prada-Luengo, Iñigo; Schuster, Viktoria; Liang, Yuhu; Terkelsen, Thilde; Sora, Valentina; Krogh, Anders

Synthetic Data Generation by Artificial Intelligence to Accelerate Research and Precision Medicine in Hematology

利用人工智能生成合成数据加速血液学研究和精准医疗

D'Amico, Saverio; Dall'Olio, Daniele; Sala, Claudia; Dall'Olio, Lorenzo; Sauta, Elisabetta; Zampini, Matteo; Asti, Gianluca; Lanino, Luca; Maggioni, Giulia; Campagna, Alessia; Ubezio, Marta; Russo, Antonio; Bicchieri, Maria Elena; Riva, Elena; Tentori, Cristina A; Travaglino, Erica; Morandini, Pierandrea; Savevski, Victor; Santoro, Armando; Prada-Luengo, Iñigo; Krogh, Anders; Santini, Valeria; Kordasti, Shahram; Platzbecker, Uwe; Diez-Campelo, Maria; Fenaux, Pierre; Haferlach, Torsten; Castellani, Gastone; Della Porta, Matteo Giovanni

The Deep Generative Decoder: MAP estimation of representations improves modelling of single-cell RNA data

深度生成解码器:基于最大后验概率 (MAP) 的表征估计改进了单细胞 RNA 数据的建模

Schuster, Viktoria; Krogh, Anders

Context dependency of nucleotide probabilities and variants in human DNA

人类DNA中核苷酸概率和变异的背景依赖性

Liang, Yuhu; Grønbæk, Christian; Fariselli, Piero; Krogh, Anders

Correction to: Context dependency of nucleotide probabilities and variants in human DNA

更正:人类DNA中核苷酸概率和变异的背景依赖性

Liang, Yuhu; Grønbæk, Christian; Fariselli, Piero; Krogh, Anders

Context dependent prediction in DNA sequence using neural networks

利用神经网络进行DNA序列的上下文相关预测

Grønbæk, Christian; Liang, Yuhu; Elliott, Desmond; Krogh, Anders