公開日期 | 標題 | 作者 | 來源出版物 | scopus | WOS | 全文 |
2005 | A two-stage normalization method for partially degraded mRNA microarray data | Liu, L.-Y.D.; Wang, N.; Lupton, J.R.; Turner, N.D.; Chapkin, R.S.; Davidson, L.A.; LI-YU LIU | Bioinformatics | 5 | 4 | |
2013 | Analysis of new functional profiles of protein isoforms yielded by Ds exonization in rice | Chien, T.-Y.; Liu, L.-Y.D.; Charng, Y.-C.; LI-YU LIU ; YUH-CHYANG CHARNG | Evolutionary Bioinformatics | 3 | 2 | |
2020 | Chromatin Organization in Early Land Plants Reveals an Ancestral Association between H3K27me3, Transposons, and Constitutive Heterochromatin | Montgomery, S.A.; Tanizawa, Y.; Galik, B.; Wang, N.; Ito, T.; Mochizuki, T.; Akimcheva, S.; Bowman, J.L.; Cognat, V.; Mar?chal-Drouard, L.; Ekker, H.; Hong, S.-F.; Kohchi, T.; Lin, S.-S.; Liu, L.-Y.D.; Nakamura, Y.; Valeeva, L.R.; Shakirov, E.V.; Shippen, D.E.; Wei, W.-L.; Yagura, M.; Yamaoka, S.; Yamato, K.T.; Liu, C.; SHIH-SHUN LIN ; LI-YU LIU | Current Biology | 112 | 112 | |
2012 | In Silico prediction for regulation of transcription factors on their shared target genes indicates relevant clinical implications in a breast cancer population | Liu, L.-Y.D.; Chang L.-Y.; WEN-HUNG KUO ; HSIAO-LIN HWA ; MING-KWANG SHYU ; KING-JEN CHANG ; FON-JOU HSIEH | Cancer Informatics | 7 | 0 | |
2015 | The Major Prognostic Features of Nuclear Receptor NR5A2 in Infiltrating Ductal Breast Carcinomas | Chang, L.-Y.; Liu, L.-Y.D.; Roth, D.A.; WEN-HUNG KUO ; HSIAO-LIN HWA ; KING-JEN CHANG ; FON-JOU HSIEH | International Journal of Genomics | 5 | 5 | |
2014 | A supervised network analysis on gene expression profiles of breast tumors predicts a 41-gene prognostic signature of the transcription factor MYB across molecular subtypes | Liu, L.-Y.D.; Chang, L.-Y.; WEN-HUNG KUO ; HSIAO-LIN HWA ; KING-JEN CHANG ; FON-JOU HSIEH | Computational and Mathematical Methods in Medicine | 16 | 14 | |
2013 | The extent of Ds1 transposon to enrich transcriptomes and proteomes by exonization | Charng, Y.-C.; Liu, L.-Y.D.; LI-YU LIU ; YUH-CHYANG CHARNG | Botanical Studies | 4 | 3 | |
2014 | Using a genetic algorithm-based RAROC model for the performance and persistence of the funds | Ou, S.-L.; Liu, L.-Y.D.; Ou, Y.-C.; LI-YU LIU | Journal of Applied Statistics | 2 | 0 | |