Mayumi Kamada - researchr alias

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Viewing Publication 1 - 11 from 11

2023

Network-based prediction approach for cancer-specific driver missense mutations using a graph neural networkNarumi Hatano, Mayumi Kamada, Ryosuke Kojima, Yasushi Okuno. bmcbi, 24(1):383, December 2023. [doi]

2019

2018

Improving conditional random field model for prediction of protein-RNA residue-base contactsMorihiro Hayashida, Noriyuki Okada, Mayumi Kamada, Hitoshi Koyano. quanbio, 6(2):155-162, 2018. [doi]

2017

Construction of Knowledge-Base for Clinical Interpretation of Genomic VariantsMayumi Kamada, Toshiaki Katayama, Shuichi Kawashima, Ryosuke Kojima, Masahiko Nakatsui, Yasushi Okuno. swat4ls 2018: [doi]

2013

Prediction of protein-RNA residue-base contacts using two-dimensional conditional random field with the lassoMorihiro Hayashida, Mayumi Kamada, Jiangning Song, Tatsuya Akutsu. bmcsb, 7(S-2), 2013. [doi]

2012

Predicting protein-RNA residue-base contacts using two-dimensional conditional random fieldMorihiro Hayashida, Mayumi Kamada, Jiangning Song, Tatsuya Akutsu. isb 2012: 152-157 [doi]

2011

Prediction using step-wise L1, L2 regularization and feature selection for small data sets with large number of featuresOzgur Demir-Kavuk, Mayumi Kamada, Tatsuya Akutsu, Ernst-Walter Knapp. bmcbi, 12:412, 2011. [doi]

Conditional random field approach to prediction of protein-protein interactions using domain informationMorihiro Hayashida, Mayumi Kamada, Jiangning Song, Tatsuya Akutsu. bmcsb, 5(S-1), 2011. [doi]

2009

Clustering the Temporal Sequences Feature of 3D Protein StructureMayumi Kamada, Sachi Kimura, Mikito Toda, Masami Takata, Kazuki Joe. pdpta 2009: 749-755

2008

Construction of an Ethanol-Tolerant Yeast Model using the E-cell SystemMayumi Kamada, Natsu Nakajima, Chisato Ishikawa, Masami Takata, Kazuki Joe. pdpta 2008: 776-782

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