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Explainable convolutional neural network model provides an alternative genome-wide association perspective on mutations in SARS-CoV-2
3 January 2025
Parisa Hatami
Richard Annan
Luis Urias Miranda
Jane Gorman
Mengjun Xie
Letu Qingge
Hong Qin
AAML
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Papers citing
"Explainable convolutional neural network model provides an alternative genome-wide association perspective on mutations in SARS-CoV-2"
4 / 4 papers shown
Title
A Review of Challenges and Opportunities in Machine Learning for Health
Marzyeh Ghassemi
Tristan Naumann
Peter F. Schulam
Andrew L. Beam
Irene Y. Chen
Rajesh Ranganath
111
272
0
01 Jun 2018
CatBoost: unbiased boosting with categorical features
Anna Veronika Dorogush
Gleb Gusev
A. Vorobev
Nikita Kazeev
Andrey Gulin
74
90
0
28 Jun 2017
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
856
39,702
0
09 Mar 2016
Measuring and testing dependence by correlation of distances
G. Székely
Maria L. Rizzo
N. K. Bakirov
327
2,614
0
28 Mar 2008
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