Nature Machine Intelligence

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A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing
Nature Machine Intelligence - Tập 3 Số 3 - Trang 247-257
Thai-Hoang Pham, Yue Qiu, Jucheng Zeng, Lei Xie, Ping Zhang
Evaluation of deep learning in non-coding RNA classification
Nature Machine Intelligence - Tập 1 Số 5 - Trang 246-256
Noorul Amin, Annette McGrath, Yi‐Ping Phoebe Chen
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
Nature Machine Intelligence - Tập 1 Số 5 - Trang 206-215
Cynthia Rudin
An interpretable mortality prediction model for COVID-19 patients
Nature Machine Intelligence - Tập 2 Số 5 - Trang 283-288
Yan Li, Haitao Zhang, Jorge Gonçalves, Yang Xiao, Maolin Wang, Yuqi Guo, Changhua Sun, Xiuchuan Tang, Jing Liang, Mingyang Zhang, Xiang Huang, Ying Xiao, Haosen Cao, Yanyan Chen, Tongxin Ren, Fang Wang, Yaru Xiao, Sufang Huang, Xi Tan, Niannian Huang, Bo Jiao, Cheng Cheng, Yong Zhang, Ailin Luo, Laurent Mombaerts, Junyang Jin, Zhiguo Cao, Shusheng Li, Hui Xu, Ye Yuan
From local explanations to global understanding with explainable AI for trees
Nature Machine Intelligence - Tập 2 Số 1 - Trang 56-67
Scott Lundberg, Gabriel Erion, Hugh Chen, Alex J. DeGrave, Jordan M. Prutkin, Bala G. Nair, Ronit Katz, Jonathan Himmelfarb, Nisha Bansal, Su‐In Lee
Ensemble deep learning in bioinformatics
Nature Machine Intelligence - Tập 2 Số 9 - Trang 500-508
Yue Cao, Thomas A. Geddes, Jean Yang, Pengyi Yang
Generating three-dimensional structures from a two-dimensional slice with generative adversarial network-based dimensionality expansion
Nature Machine Intelligence - Tập 3 Số 4 - Trang 299-305
Steve Kench, Samuel J. Cooper
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