Results 231 to 240 of about 36,550 (274)

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

open access: yesMolecular Oncology, EarlyView.
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
wiley   +1 more source

Lessons from Failed Attempts of Computationally Guided Synthesis of Aluminosilicate STF and IFR Zeolites in Hydroxide Media. [PDF]

open access: yesChem Mater
Altundal OF   +9 more
europepmc   +1 more source

Combinatorial Carbohydrate Chemistry

ChemInform, 2002
AbstractFor Abstract see ChemInform Abstract in Full Text.
Marcaurelle, L., Seeberger, P.
openaire   +3 more sources

Dynamic combinatorial chemistry

Drug Discovery Today, 2002
A 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
openaire   +2 more sources

Dynamic Combinatorial Chemistry

Combinatorial Chemistry & High Throughput Screening, 1970
Dynamic 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
openaire   +2 more sources

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