Efficient differentially private learning improves drug sensitivity prediction

Antti Honkela, Mrinal Das, Arttu Nieminen, Onur Dikmen, Samuel Kaski

Research output: Contribution to journalArticleScientificpeer-review

Original languageEnglish
Article number1
JournalBiology Direct
Volume13
Number of pages12
ISSN1745-6150
DOIs
Publication statusPublished - 6 Feb 2018
MoE publication typeA1 Journal article-refereed

Fields of Science

  • Differential privacy
  • Linear regression
  • Drug sensitivity prediction
  • Machine learning
  • GENOME-WIDE ASSOCIATION
  • INFERENCE
  • 113 Computer and information sciences
  • 112 Statistics and probability
  • 3142 Public health care science, environmental and occupational health

Cite this

Honkela, Antti ; Das, Mrinal ; Nieminen, Arttu ; Dikmen, Onur ; Kaski, Samuel. / Efficient differentially private learning improves drug sensitivity prediction. In: Biology Direct. 2018 ; Vol. 13.
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author = "Antti Honkela and Mrinal Das and Arttu Nieminen and Onur Dikmen and Samuel Kaski",
year = "2018",
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day = "6",
doi = "10.1186/s13062-017-0203-4",
language = "English",
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Efficient differentially private learning improves drug sensitivity prediction. / Honkela, Antti; Das, Mrinal; Nieminen, Arttu; Dikmen, Onur; Kaski, Samuel.

In: Biology Direct, Vol. 13, 1, 06.02.2018.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Efficient differentially private learning improves drug sensitivity prediction

AU - Honkela, Antti

AU - Das, Mrinal

AU - Nieminen, Arttu

AU - Dikmen, Onur

AU - Kaski, Samuel

PY - 2018/2/6

Y1 - 2018/2/6

KW - Differential privacy

KW - Linear regression

KW - Drug sensitivity prediction

KW - Machine learning

KW - GENOME-WIDE ASSOCIATION

KW - INFERENCE

KW - 113 Computer and information sciences

KW - 112 Statistics and probability

KW - 3142 Public health care science, environmental and occupational health

U2 - 10.1186/s13062-017-0203-4

DO - 10.1186/s13062-017-0203-4

M3 - Article

VL - 13

JO - Biology Direct

JF - Biology Direct

SN - 1745-6150

M1 - 1

ER -