Results 51 to 60 of about 726,554 (241)
FEBS Letters, EarlyView.How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley +1 more source
Mac Andrew Alcoholism Scale and Repression: Detection of False Negatives
, 1985 Evaluated were MMPI data of 105 male chronic alcoholics and drug addicts with a large proportion (21.9%) of false negatives on the MacAndrew Alcoholism Scale (a measure of addictive personality).
Zack Zdenek Cernovsky
core +1 more source
AerospaceMaintenance strategies play a crucial role in ensuring the reliability and performance of complex systems. Imperfect inspections, characterized by the probabilities of false positives and false negatives, significantly impact the effectiveness of ...
Vladimir Ulansky, Ahmed Raza
doaj +1 more source
The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers
Molecular Oncology, EarlyView.The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce +11 more
wiley +1 more source
Molecular Oncology, EarlyView.In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge +17 more
wiley +1 more source
Examples of false negatives and false positives generated by our approach.
, 2012 Examples of false negatives and false positives generated by our approach.
Yijia Zhang (125027) +4 more
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Accuracy improvement in financial sanction screening: is natural language processing the solution?
Frontiers in Artificial IntelligenceSanction screening is a crucial banking compliance process that protects financial institutions from inadvertently engaging with internationally sanctioned individuals or organizations.
Seihee Kim, ShengYun Yang
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Bayesian inference for genomic data integration reduces misclassification rate in predicting protein-protein interactions. [PDF]
PLoS Computational Biology, 2011 Protein-protein interactions (PPIs) are essential to most fundamental cellular processes. There has been increasing interest in reconstructing PPIs networks. However, several critical difficulties exist in obtaining reliable predictions.
Chuanhua Xing, David B Dunson
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Molecular Oncology, EarlyView.In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera +11 more
wiley +1 more source
Venn diagram showing false-positives (red) and false-negatives (green) regarding failure prediction.
, 2014 Venn diagram showing false-positives (red) and false-negatives (green) regarding failure prediction.
Martin Heister (522006) +6 more
core +1 more source