ResearchTrend.AI
Towards Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-based Convolutional Encoders

Towards Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-based Convolutional Encoders

Matteo Manica
Ali Oskooei
Jannis Born
Vigneshwar Subramanian
J. Sáez-Rodríguez
María Rodríguez Martínez
ArXivPDFHTML

Papers citing "Towards Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-based Convolutional Encoders"

4 / 4 papers shown
Title
A Review on Explainability in Multimodal Deep Neural Nets
A Review on Explainability in Multimodal Deep Neural Nets
Gargi Joshi
Rahee Walambe
K. Kotecha
23
138
0
17 May 2021
TITAN: T Cell Receptor Specificity Prediction with Bimodal Attention Networks
TITAN: T Cell Receptor Specificity Prediction with Bimodal Attention Networks
Anna Weber
Jannis Born
María Rodríguez Martínez
11
129
0
21 Apr 2021
Learning Curves for Drug Response Prediction in Cancer Cell Lines
Learning Curves for Drug Response Prediction in Cancer Cell Lines
A. Partin
Thomas Brettin
Yvonne A. Evrard
Yitan Zhu
H. Yoo
...
Austin R. Clyde
Maulik Shukla
Michael Fonstein
J. Doroshow
Rick L. Stevens
8
19
0
25 Nov 2020
Drug discovery with explainable artificial intelligence
Drug discovery with explainable artificial intelligence
José Jiménez-Luna
F. Grisoni
G. Schneider
30
625
0
01 Jul 2020