Predicting Triple-Negative Breast Cancer Subtype Using Multiple Single Nucleotide Polymorphisms for Breast Cancer Risk and Several Variable Selection Methods.
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Using automated texture features to determine the probability for masking of a tumor on mammography, but not ultrasound.Update Breast Cancer 2018 (Part 2) - Advanced Breast Cancer, Quality of Life and Prevention.Risk, Prediction and Prevention of Hereditary Breast Cancer - Large-Scale Genomic Studies in Times of Big and Smart Data.
P2860
Predicting Triple-Negative Breast Cancer Subtype Using Multiple Single Nucleotide Polymorphisms for Breast Cancer Risk and Several Variable Selection Methods.
description
2017 nî lūn-bûn
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2017年の論文
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2017年論文
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2017年論文
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2017年論文
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2017年論文
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2017年論文
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2017年论文
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2017年论文
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2017年论文
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name
Predicting Triple-Negative Bre ...... al Variable Selection Methods.
@en
type
label
Predicting Triple-Negative Bre ...... al Variable Selection Methods.
@en
prefLabel
Predicting Triple-Negative Bre ...... al Variable Selection Methods.
@en
P2093
P2860
P50
P356
P1476
Predicting Triple-Negative Bre ...... al Variable Selection Methods.
@en
P2093
Arndt Hartmann
Lothar Häberle
Marius Wunderle
Matthias Rübner
Michael Schneider
Rüdiger Schulz-Wendtland
Werner Schroth
Wing-Yee Lo
P2860
P304
P356
10.1055/S-0043-111602
P577
2017-06-28T00:00:00Z