Results 231 to 240 of about 458,494 (300)

Genome-Wide CRISPR Screens Identify ABCG2-Mediated Drug Resistance to the Threonine Tyrosine Kinase (TTK) Inhibitor CFI-402257 in Breast Cancer. [PDF]

Int J Mol Sci
Thu KL, Jafari S, Silvester J, Cruickshank J, Soria-Bretones I, Hodgson K, Tobin C, Haight J, Lau APY, Bray T, Wakeham D, Bray MR, Mak TW, Cescon DW.   +13 more
europepmc   +1 more source

MDA--another stupefacente.

North Carolina medical journal, 1983
openaire   +1 more source

Some of the next articles are maybe not open access.

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Assessment of lipid peroxidation by measuring malondialdehyde (MDA) and relatives in biological samples: Analytical and biological challenges

Analytical Biochemistry, 2017
Dimitrios Tsikas
exaly   +2 more sources

MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA

Biometrika, 2021
Variable importance measures are the main tools used to analyse the black-box mechanisms of random forests. Although the mean decrease accuracy is widely accepted as the most efficient variable importance measure for random forests, little is known ...
Cl'ement B'enard, S. Veiga, Erwan Scornet   +2 more
semanticscholar   +1 more source

MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph

Briefings Bioinform., 2021
Accurate identification of the miRNA-disease associations (MDAs) helps to understand the etiology and mechanisms of various diseases. However, the experimental methods are costly and time-consuming.
Yanyi Chu, Xuhong Wang, Qiuying Dai, Yanjing Wang, Qiankun Wang, Shaoliang Peng, Xiaoyong Wei, Jingfei Qiu, D. Salahub, Y. Xiong, Dongqing Wei   +10 more
semanticscholar   +1 more source

Mitochondrial Delivery of Doxorubicin via Triphenylphosphine Modification for Overcoming Drug Resistance in MDA-MB-435/DOX Cells

Molecular Pharmaceutics, 2014
Min Han, Mohammad Reza Vakili, Hoda Soleymani Abyaneh   +2 more
exaly   +2 more sources

The Best Way to Select Features? Comparing MDA, LIME, and SHAP

The Journal of Financial Data Science, 2020
Feature selection in machine learning is subject to the intrinsic randomness of the feature selection algorithms (e.g., random permutations during MDA).
Xin Man, Ernest P. Chan
semanticscholar   +1 more source