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UnknownBRIDES: A New Fast Algorithm and Software for Characterizing Evolving Similarity Networks Using Breakthroughs, Roadblocks, Impasses, Detours, Equals and Shortcuts.
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S-EPMC5007014 | biostudies-literature
TranscriptomicsPatterns of gene expression and evolution in the human developing cerebral cortex
The cerebral cortex underwent a rapid expansion and complexification during recent primate evolution, but the underlying developmental mechanisms remain essentially unknown. In order to uncover genetic networks underlying the development of the human cerebral cortex, we profiled the transcriptome o...
ORGANISM(S): Homo sapiens 
2011-06-01 | E-GEOD-21858 | biostudies-arrayexpress
TranscriptomicsSporadic and Post-Chernobyl Papillary Thyroid Cancers
We compared the expression profiles of papillary thyroid tumors from the Chernobyl Tissues Bank (CTB) with tumors from French patients with no history of exposure to radiations. Keywords: papillary thyroid cancer vs. patient-matched healthy adjacent thyroid thyroid papillary cancer vs. patient-match...
ORGANISM(S): Homo sapiens 
2007-07-11 | E-GEOD-3950 | biostudies-arrayexpress
UnknownUnveiling the importance of nonshortest paths in quantum networks.
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S-EPMC11864168 | biostudies-literature
UnknownA research note regarding "Variation in cancer risk among tissues can be explained by the number of stem cell divisions".
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S-EPMC5089134 | biostudies-literature
UnknownMost random gene expression signatures are significantly associated with breast cancer outcome.
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S-EPMC3197658 | biostudies-literature
UnknownA measure of the signal-to-noise ratio of microarray samples and studies using gene correlations.
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S-EPMC3520972 | biostudies-literature
UnknownTriageTools: tools for partitioning and prioritizing analysis of high-throughput sequencing data.
Not available
S-EPMC3627586 | biostudies-literature
UnknownPiecewise polynomial representations of genomic tracks.
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S-EPMC3499510 | biostudies-literature
UnknownSystematic analysis of A-to-I RNA editing upon release of ADAR from the nucleolus.
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S-EPMC12710910 | biostudies-literature
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