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33篇 您的检索式:作者名="BAJIC VB"
    题名 作者 年代 出处 被引量
1On the classification of long non-coding RNAs显示文摘Ma L Bajic VB Zhang Z 2013RNA Bioi2013,10,6:1
2E2F5 sta- tus significantly improves malignancy diagnosis of epitheli- al ovarian cancer 显示文摘Kothandaraman N Bajic VB Brendan PN 2010BMC Cancer2010,64,10:1
3Promoter prediction analysis on the whole human genome显示文摘Bajic VB Tan SL Suzuki Y 0,,11:1
4Enhancement of plant-microbe interactions using a rhizosphere metabolomics-driven approach and its application in the removal of polychlorinated biphenyls显示文摘Narasimhan K Basheer C Bajic VB 2003Plant Physiol2003,132,1:1
5Computational methods for prediction of T-cell epitopes-a framework for modelling,testing,and applications显示文摘Brusic V Bajic VB Petrovsky N 2004Methods2004,34,:1
6Sex differences in the recognition of and innate antiviral responses to Seoul virus in Norway rats显示文摘Hannah MF Bajic VB Klein SL 2008Brain Behav Immun2008,22,4:1
7E2F5 status significantly improves malignancy diagnosis of epi- thelial ovarian cancer显示文摘Kothandaraman N Bajic VB Brendan PN 2010BMC Cancer2010,10,:1
8Computer model for recognition of functional transcription start sites in RNA Polymerase II promoters of vertebrates 显示文摘Bajic VB Seah SH Chong A Krishnan SPT Koh JLY Brusic V 2003J Mol Graph Model2003,21,:1
9Dragon gene start finder identifies approximate locations of the 50 ends of genes 显示文摘Bajic VB Seah SH 2003Nucleic Acids Res2003,31,:1
10E2F5status significantly improves malignancy diagnosis of epithelial ovarian cancer显示文摘Kothandaraman N Bajic VB Brendan PN 2010BMC Cancer2010,64,10:1
11Computational methods for prediction of T-cell epitopes-a framework for modelling, testing, and applications显示文摘Brusic V Bajic VB Petrovsky N 2004Methods2004,34,4:1
12On the classification of long non- coding RNAs显示文摘Ma L Bajic VB Zhang Z 2013RNA Biol2013,10,6:1
13Early detection of epithelial ovarian cancer using a proteomics-based protein-profiling approach combined with a novel selection strategy显示文摘 Bajic VB Loganath A 2004Ann Acad Med Singapore2004,,5:1
14E2F5 status significantly improves malignancy diagnosis of epithelial ovarian cancer显示文摘Kothandaraman N Bajic VB Brendan PN 2010BMC Cancer2010,10,:1
15Computational methods for prediction of T-cell epitopes-a framework for modeling, testing, and applications显示文摘Brusic V Bajic VB Petrovsky N 2004Methods2004,34,4:1
16Computational methods for prediction of T-cell epitopes-a framework for modeling, testing, and applications显示文摘BRUSIC V BAJIC VB PETROVSKY N 2004Methods2004,34,4:1
17On the classification of long non- coding RNAs显示文摘Ma L Bajic VB Zhang Z 2013RNA Biol2013,10,6:1
18Supra-optimal expression of the cold-regulated OsMyb4 transcription factor in transgenic rice changes thecomplexity of transcriptional network with major effects on stresstolerance and panicle development 显示文摘Park MR Yun KY Mohanty B Herath V Xu F Wijaya E Bajic VB Yun SJ De Los Reyes BG 2010Plant Cell Environ2010,33,12:1
19On the classification of long noncoding RNAs显示文摘Ma L Bajic VB Zhang Z 2013RNA BioI2013,10,6:1
20Comparing the success of different prediction software in sequence analysis显示文摘Bajic VB 2000Brief Bioinformation2000,1,3:1
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