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To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
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From One to Millions: The Revolution of Combinatorial Chemistry
Shreya Talreja +1 more
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Lessons from Failed Attempts of Computationally Guided Synthesis of Aluminosilicate STF and IFR Zeolites in Hydroxide Media. [PDF]
Altundal OF +9 more
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Editorial for Special Issue "New Insight: Enzymes as Targets for Drug Development in Current Issues in Molecular Biology". [PDF]
Kim SK.
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Combinatorial Carbohydrate Chemistry
ChemInform, 2002AbstractFor Abstract see ChemInform Abstract in Full Text.
Marcaurelle, L., Seeberger, P.
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Dynamic combinatorial chemistry
Drug Discovery Today, 2002A combinatorial library that responds to its target by increasing the concentration of strong binders at the expense of weak binders sounds ideal. Dynamic combinatorial chemistry has the potential to achieve exactly this. In this review, we will highlight the unique features that distinguish dynamic combinatorial chemistry from traditional ...
Sijbren, Otto +2 more
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Dynamic Combinatorial Chemistry
Combinatorial Chemistry & High Throughput Screening, 1970Dynamic combinatorial chemistry is based on the reversible combination of initial building blocks to form dynamic combinatorial libraries. It has recently emerged as an efficient strategy to detect and to evaluate affinity between the library products and a target molecule.
I, Huc, R, Nguyen
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