Hiroki Konishi

发表

Capturing the differences between humoral immunity in the normal and tumor environments from repertoire-seq of B-cell receptors using supervised machine learning

S. Ishikawa, D. Komura, S. Imoto, 2017, BMC Bioinformatics.

Supplemental Information Immunogenetic Pro fi ling for Gastric Cancers Identi fi es Sulfated Glycosaminoglycans as Major and Functional B Cell Antigens in Human Malignancies

S. Ishikawa, D. Komura, H. Aburatani, 2017 .

Capturing the differences between humoral immunity in the normal and tumor environments from repertoire-seq of B-cell receptors using supervised machine learning

S. Ishikawa, D. Komura, S. Imoto, 2019, BMC Bioinform..

Nucleic acid–triggered tumoral immunity propagates pH‐selective therapeutic antibodies through tumor‐driven epitope spreading

S. Ishikawa, D. Komura, K. Tsumoto, 2022, Cancer science.

Focal adhesion ribonucleoprotein complex proteins are major humoral cancer antigens and targets in autoimmune diseases

S. Ishikawa, D. Komura, Hiroki Konishi, 2020, Communications Biology.

Focal adhesion ribonucleoprotein complex proteins are major humoral cancer antigens and targets in autoimmune diseases

S. Ishikawa, D. Komura, Hiroki Konishi, 2020, Communications Biology.

Immunogenetic Profiling for Gastric Cancers Identifies Sulfated Glycosaminoglycans as Major and Functional B Cell Antigens in Human Malignancies.

S. Ishikawa, D. Komura, H. Aburatani, 2017, Cell reports.

Universal encoding of pan-cancer histology by deep texture representations.

S. Ishikawa, D. Komura, Hiroki Konishi, 2022, Cell reports.

Deep Texture Representations as a Universal Encoder for Pan-cancer Histology

Ryohei Suzuki, Keisuke Fukuta, Akihiro Kawabe, 2020, bioRxiv.

Luigi: Large-scale histopathological image retrieval system using deep texture representations

Daisuke Komura, Hiroki Konishi, Ryohei Suzuki, 2018, bioRxiv.

Halcyon: an accurate basecaller exploiting an encoder–decoder model with monotonic attention

Rui Yamaguchi, Seiya Imoto, Hiroki Konishi, 2020, Bioinform..