Takaya Saito

发表

Precrec: fast and accurate precision–recall and ROC curve calculations in R

Takaya Saito, Marc Rehmsmeier, M. Rehmsmeier, 2016, Bioinform..

Testing Workbench for Precision-Recall Curves

Takaya Saito, Marc Rehmsmeier, 2016 .

The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets

Takaya Saito, Marc Rehmsmeier, M. Rehmsmeier, 2015, PloS one.

3‐GHz band burst mode earth station transmitter

Takeo Inoue, Kiyoshi Shimokawa, Takaya Saito, 1992 .

A two-step site and mRNA-level model for predicting microRNA targets

Takaya Saito, Pål Sætrom, P. Sætrom, 2010, BMC Bioinformatics.

Testing Workbench for Precision-Recall Curves [R package prcbench version 0.8.2]

Takaya Saito, Marc Rehmsmeier, 2020 .

Calculate Accurate Precision-Recall and ROC (Receiver Operator Characteristics) Curves [R package precrec version 0.11.2]

Takaya Saito, Marc Rehmsmeier, 2020 .

MicroRNAs--targeting and target prediction.

Takaya Saito, P. Saetrom, Takaya Saito, 2010, New biotechnology.

Target gene expression levels and competition between transfected and endogenous microRNAs are strong confounding factors in microRNA high-throughput experiments

Takaya Saito, Pål Sætrom, P. Sætrom, 2012, Silence.

MicroRNAs act complementarily to regulate disease-related mRNA modules in human diseases

Fredrik Barrenäs, Kartiek Kanduri, Mikael Benson, 2013, RNA.