SCRUM-Japan genesis virtual sequencing (VSQ) project: A novel algorithm combining deep learning (DL) with pathological diagnostics to enable the prediction of BRAF mutations and microsatellite instability (MSI) in advanced colorectal cancer (CRC).

Satoshi Fujii,Daisuke Kotani,Masahiro Hattori,Nishihara Masato,Toshihide Shikanai,Junji Hashimoto,Yuki Hama,Takuya Nishino,Mizuto Suzuki,Ayatoshi Yoshidumi,Tomoyuki Yamada,Takayuki Yoshino

SCRUM-Japan genesis virtual sequencing (VSQ) project: A novel algorithm combining deep learning (DL) with pathological diagnostics to enable the prediction of BRAF mutations and microsatellite instability (MSI) in advanced colorectal cancer (CRC).

2021

Satoshi Fujii
Daisuke Kotani
Masahiro Hattori
Nishihara Masato
Toshihide Shikanai
Junji Hashimoto
Yuki Hama
Takuya Nishino
Mizuto Suzuki
Ayatoshi Yoshidumi
Tomoyuki Yamada
Takayuki Yoshino

112Background: Numerous genetic and epigenetic abnormalities may lead to various morphologies of cancer. However, exactly which gene abnormality causes which morphology is unknown. The VSQ Project ...

Keywords:

Gene Abnormality
Computational biology
Epigenetics
Cancer
Scrum
Pathological
advanced colorectal cancer
Microsatellite instability
Medicine

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