Search Results - olga+troyanskaya

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Systems and Methods for Analyzing Genetic Data for Assessment of Gene Regulatory Activity in Disease Prediciton, Diagnosis and Treatment

Systems and Methods for Analyzing Genetic Data for Assessment of GeneRegulatory Activity in Disease Prediction, Diagnosis and TreatmentPrinceton Docket # 21-3806Sequence is at the basis of how the genome and its variations shape chromatin organization, regulate gene expression, and impact traits and diseases. Epigenomic profiling efforts have enabled...
Published: 9/23/2022   |   Inventor(s): Olga Troyanskaya, Kathleen Chen, Jian Zhou
Keywords(s):  
Category(s): Biotechnology/Pharmaceuticals, Medical Devices/Diagnostics, Computers and Software

DeepSEA and Seqweaver: Deep learning frameworks for the identification of de novo disease-causing mutations in noncoding sequences

DeepSEA and Seqweaver: Deep learning frameworks for the identification of de novo disease-causing mutations in noncoding sequencesPrinceton Docket #s 18-3426, 18-3440Researchers at Princeton University and Rockefeller University have collaborated to establish methods for the identification of de novo mutations in the vast noncoding genomic sequences....
Published: 11/9/2022   |   Inventor(s): Jian Zhou, Olga Troyanskaya, Christopher Park, Robert Darnell, Chandra Theesfeld
Keywords(s):  
Category(s): Computers and Software

Predicting Genomic Variation Effects on Human Gene Transcription

De novo prediction of tissue-specific expression effect and disease risk for every mutation in a human genome - ExpectoPrinceton Docket # 18-3423Sequence-based models, with their scalability and usage of sequence dependencies, enable a new era of mutation analysis at unprecedented scale that can yield a new perspective on human variation in human diseases...
Published: 9/26/2022   |   Inventor(s): Olga Troyanskaya, Jian Zhou, Chandra Theesfeld
Keywords(s):  
Category(s): Biotechnology/Pharmaceuticals, Computers and Software

Aneuploidy Prediction and Tumor Classification with Heterogeneous Hidden Conditional Random Fields

Princeton University Invention # 09-2491 Cancer signatures are often confounded when looking at tumor morphology, but may be inferred through genetic aberration patterns. Array-based methods provide high-throughput data on genetic copy numbers, but determining the clinically relevant copy number changes and identifying potentially...
Published: 3/30/2022   |   Inventor(s): Robert Schapire, Olga Troyanskaya, Zafer Barutcuoglu, Edoardo Airoldi
Keywords(s):  
Category(s): Computers and Software, Biotechnology/Pharmaceuticals