Literature DB >> 29855577

The curse(s) of dimensionality.

Naomi Altman1, Martin Krzywinski2.   

Abstract

Mesh：

Year:  2018        PMID： 29855577     DOI： 10.1038/s41592-018-0019-x

Source DB:  PubMed          Journal:  Nat Methods        ISSN： 1548-7091            Impact factor:   28.547


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  36 in total

1.  Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation: Machine Learning of Atrial Fibrillation.

Authors:  Mahmood I Alhusseini; Firas Abuzaid; Albert J Rogers; Junaid A B Zaman; Tina Baykaner; Paul Clopton; Peter Bailis; Matei Zaharia; Paul J Wang; Wouter-Jan Rappel; Sanjiv M Narayan
Journal:  Circ Arrhythm Electrophysiol       Date:  2020-07-06

2.  Risk prediction for delayed clearance of high-dose methotrexate in pediatric hematological malignancies by machine learning.

Authors:  Min Zhan; Zebin Chen; Changcai Ding; Qiang Qu; Guoqiang Wang; Sixi Liu; Feiqiu Wen
Journal:  Int J Hematol       Date:  2021-06-25       Impact factor: 2.490

Review 3.  Machine Learning in Epigenomics: Insights into Cancer Biology and Medicine.

Authors:  Emre Arslan; Jonathan Schulz; Kunal Rai
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2021-07-07       Impact factor: 10.680

Review 4.  Artificial Intelligence in Bulk and Single-Cell RNA-Sequencing Data to Foster Precision Oncology.

Authors:  Marco Del Giudice; Serena Peirone; Sarah Perrone; Francesca Priante; Fabiola Varese; Elisa Tirtei; Franca Fagioli; Matteo Cereda
Journal:  Int J Mol Sci       Date:  2021-04-27       Impact factor: 5.923

5.  Urinary Proteomic Profile of Arterial Stiffness Is Associated With Mortality and Cardiovascular Outcomes.

Authors:  Dongmei Wei; Jesus D Melgarejo; Lutgarde Thijs; Xander Temmerman; Thomas Vanassche; Lucas Van Aelst; Stefan Janssens; Jan A Staessen; Peter Verhamme; Zhen-Yu Zhang
Journal:  J Am Heart Assoc       Date:  2022-04-12       Impact factor: 6.106

6.  EMBEDR: Distinguishing signal from noise in single-cell omics data.

Authors:  Eric M Johnson; William Kath; Madhav Mani
Journal:  Patterns (N Y)       Date:  2022-02-08

7.  Recognition of Foot-Ankle Movement Patterns in Long-Distance Runners With Different Experience Levels Using Support Vector Machines.

Authors:  Eneida Yuri Suda; Ricky Watari; Alessandra Bento Matias; Isabel C N Sacco
Journal:  Front Bioeng Biotechnol       Date:  2020-06-11

8.  Statistical and Machine Learning Link Selection Methods for Brain Functional Networks: Review and Comparison.

Authors:  Ilinka Ivanoska; Kire Trivodaliev; Slobodan Kalajdziski; Massimiliano Zanin
Journal:  Brain Sci       Date:  2021-05-31

9.  Brain Knows Who Is on the Same Wavelength: Resting-State Connectivity Can Predict Compatibility of a Female-Male Relationship.

Authors:  Shogo Kajimura; Ayahito Ito; Keise Izuma
Journal:  Cereb Cortex       Date:  2021-10-01       Impact factor: 4.861

10.  Use of a Machine Learning Algorithm to Predict Individuals with Suicide Ideation in the General Population.

Authors:  Seunghyong Ryu; Hyeongrae Lee; Dong-Kyun Lee; Kyeongwoo Park
Journal:  Psychiatry Investig       Date:  2018-10-11       Impact factor: 2.505
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