Results 201 to 210 of about 180,353 (259)
Enhancing Transcriptomic Insights into Neurological Disorders Through the Comparative Analysis of Shapley Values. [PDF]
Castro-Martínez JA+3 more
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Advancements in Diagnostics and Therapeutics for Cancer of Unknown Primary in the Era of Precision Medicine. [PDF]
Zhao T+5 more
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Unsupervised machine learning-based stratification and immune deconvolution of liver hepatocellular carcinoma. [PDF]
Reierson MM, Acharjee A.
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MUUMI: an R package for statistical and network-based meta-analysis for MUlti-omics data Integration
Inkala S+6 more
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Analysis techniques for microarray time-series data
Proceedings of the fifth annual international conference on Computational biology, 2001We address possible limitations of publicly available data sets of yeast gene expression. We study the predictability of known regulators via time-series analysis, and show that less than 20% of known regulatory pairs exhibit strong correlations in the Cho/Spellman data sets.
Jizu Zhi, Steven Skiena, Vladimir Filkov
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A Microarray Analysis Technique Using a Self-Organizing Multiagent Approach
2021Microarray technology is fully established among the research fields in genetic domain. Academia and industrial researchers investigate and analyze genes' expression to obtain more and more useful information about given organisms, with the aim to perform better disease diagnosis and prediction, accurate medical data analysis, etc.
Forestiero A+3 more
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A colon cancer microarray analysis technique
2017 E-Health and Bioengineering Conference (EHB), 2017Colon cancer is a very spread malady at international level, symptoms occurring due to a number of vary conditions that may be totally ignored in early stages. Moreover, even treated surgical or with chemotherapy, lots of patients occur recurrence at a specific period of time, so more validated findings in the microarray analysis field, should improve ...
Catalin Buiu, Irina-Oana Petre
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