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Another work by Atul [ 17] utilized the same gene expression data and algorithms with large scale gene expression data from GEO to study associations between 100 diseases and 164 drug molecules.
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Orthologous genes are highly conserved between closely related species and biological systems often utilize the same genes across different organisms.
We then analyzed and classified 2 independent test sets comprised of primary skin cancer (BCC, SCC and PCM) and MM samples, utilizing the same genes.
In this manuscript, we utilized the same approach: gene families that poorly resolve relationship of a quartet were excluded from further analyses.
The rationale for not utilizing the overall physiologic state effect together with the within tissue physiologic state effect in the calculation was that these multiple tests were utilized for the same gene.
All codon-modified genes utilized the same set of E7 primers and probe; E7/wild type amplification required a slightly modified set.
Finally, we utilized the same Semiquantative RT-PCR to verify those 12 genes uniquely detected with our method and not confirmed with experiments from published literature.
All four lessons also utilized the same audio track.
Study 2 utilized the same algorithm as Study 1.
later utilized the same method [ 19].
Data collected for standards utilized the same GC program.
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