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Applications of Deep Learning in Biomedicine

Molecular Pharmaceutics

Mar 24, 2016

Polina MamoshinaAlex Zhavoronkov

Abstract

Increases in throughput and installed base of biomedical research equipment led to a massive accumulation of -omics data known to be highly variable, high-dimensional, and sourced from multiple often incompatible data platforms. While this data may be useful for biomarker identification...read more

Mentioned in this Paper

Biological Markers
2-Dimensional
Medical Research Activity
Neurons
Neural Network Simulation
Pharmacologic Substance
Learning
Biomedicine
Drug Prospecting
Biomedical Research
41
70
2
689
Paper Details
References
  • References39
  • Citations37
1234

Applications of Deep Learning in Biomedicine

Molecular Pharmaceutics

Mar 24, 2016

Polina MamoshinaAlex Zhavoronkov

PMID: 27007977

DOI: 10.1021/acs.molpharmaceut.5b00982

Abstract

Increases in throughput and installed base of biomedical research equipment led to a massive accumulation of -omics data known to be highly variable, high-dimensional, and sourced from multiple often incompatible data platforms. While this data may be useful for biomarker identification...read more

Mentioned in this Paper

Biological Markers
2-Dimensional
Medical Research Activity
Neurons
Neural Network Simulation
Pharmacologic Substance
Learning
Biomedicine
Drug Prospecting
Biomedical Research
41
70
2
689
Paper Details
References
  • References39
  • Citations37
1234
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