GeneCT: a generalizable cancerous status and tissue origin classifier for pan-cancer biopsies | Zendy

Kun Sun | Zendy; Jiguang Wang | Zendy; Huating Wang | Zendy; Hao Sun | Zendy

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GeneCT: a generalizable cancerous status and tissue origin classifier for pan-cancer biopsies

Author(s) -

Kun Sun,

Jiguang Wang,

Huating Wang,

Hao Sun

Publication year - 2018

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bty524

Subject(s) - classifier (uml) , perl , cancer , computer science , source code , biopsy , pathology , artificial intelligence , medicine , world wide web , programming language

Tissue biopsy is commonly used in cancer diagnosis and molecular studies. However, advanced skills are required for determining cancerous status of biopsies and tissue origin of tumor for cancerous ones. Correct classification is essential for downstream experiment design and result interpretation, especially in molecular cancer studies. Methods for accurate classification of cancerous status and tissue origin for pan-cancer biopsies are thus urgently needed.

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