1.Machine Learning for Nuclear Mechano-Morphometric Biomarkers in Cancer Diagnosis

作　　者：Adityanarayanan Radhakrishnan ;Karthik Damodaran ;Ali C. Soylemezoglu 等

出　　处：Scientific Reports. 2017 ;7(1):17946.doi:10.1038/s41598-017-17858-1

出版社：Springer Nature

文章 ID：230256761

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2.Network analysis identifies chromosome intermingling regions as regulatory hotspots for transcription

作　　者：Anastasiya Belyaeva ;Saradha Venkatachalapathy ;Mallika Nagarajan 等

出　　处：Proceedings of the National Academy of Sciences. 2017 ;114(52):13714-13719.doi:10.1073/pnas.1708028115

出版社：The National Academy of Sciences of the United States of America

文章 ID：210994211

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3.Overparameterized neural networks implement associative memory

作　　者：Adityanarayanan Radhakrishnan ;Mikhail Belkin ;Caroline Uhler

出　　处：Proceedings of the National Academy of Sciences. 2020 ;117(44):27162-27170.doi:10.1073/pnas.2005013117

出版社：The National Academy of Sciences of the United States of America

文章 ID：260994164

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4.High-dimensional joint estimation of multiple directed Gaussian graphical models

作　　者：Yuhao Wang ;Santiago Segarra ;Caroline Uhler

出　　处：Electronic Journal of Statistics. 2020 ;14(1):2439-2483.doi:10.1214/20-EJS1724

出版社：Institute of Mathematical Statistics

文章 ID：1028105242

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