AIMC Topic: High-Throughput Nucleotide Sequencing

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Machine learning from concept to clinic: reliable detection of BRAF V600E DNA mutations in thyroid nodules using high-dimensional RNA expression data.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2015
The promise of personalized medicine will require rigorously validated molecular diagnostics developed on minimally invasive, clinically relevant samples. Measurement of DNA mutations is increasingly common in clinical settings but only higher-preval...
Humans Machine Learning Gene Expression Profiling Thyroid Nodule Computational Biology Support Vector Machine Mutation High-Throughput Nucleotide Sequencing DNA Mutational Analysis Biopsy, Fine-Needle DNA, Neoplasm Oligonucleotide Array Sequence Analysis Proto-Oncogene Proteins B-raf RNA, Neoplasm
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