Data Structure ?
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Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
#2018年IEEE名誉クラスの機械学習コースプロジェクト
## 分子顕微画像に基づくタンパク質の細胞内局在
私の見解：このプロジェクトのラベルは正確ではない……最先端技術でも50％ - 60％しか達成できない
データセットの説明
ヒトタンパク質アトラス（Human Protein Atlas, HPA）は公開された無料の生物画像データベースで、現在のバージョン16.1には、ヒトの健康組織、癌組織および細胞における16998個のタンパク質の数百万枚の顕微画像が保存されています。
難易度
* 画像サイズが大きい：3000×3000
* 画像の有用な情報が少なく、ノイズが多い
* マルチラベル
* マルチインスタンス
関連研究
* 画像ベース：Xu, Y. 他, 半教師付き学習によるヒト癌における誤局在タンパク質の生物画像ベースの検出. バイオインフォマティクス, 2014年. 31(7): p. 1111 - 1119.
* 画像ベース：Xu, Y.Y. 他, 画像ベースのマルチラベルヒトタンパク質細胞内局在予測器（iLocator）による癌組織におけるタンパク質の誤局在の解明. バイオインフォマティクス, 2013年. 29(16): p. 2032 - 2040
* 配列ベース：Almagro, J.A. 他, 深層学習を用いたタンパク質の細胞内局在予測モデルDeepLoc. バイオインフォマティクス, 2017年.
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