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Systems and Methods for Analyzing Genetic Data for Assessment of Gene
Regulatory Activity in Disease Prediction, Diagnosis and Treatment
Princeton Docket # 21-3806
Sequence 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...
Published: 12/6/2023
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Inventor(s): Olga Troyanskaya, Kathleen Chen, Jian Zhou
Keywords(s):
Category(s): Biotechnology/Pharmaceuticals, Medical Devices/Diagnostics, Computer Science and Information Technology
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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: 4/23/2024
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Inventor(s): Jian Zhou, Olga Troyanskaya, Christopher Park, Robert Darnell, Chandra Theesfeld
Keywords(s):
Category(s): Computer Science and Information Technology
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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
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Inventor(s): Olga Troyanskaya, Jian Zhou, Chandra Theesfeld
Keywords(s):
Category(s): Biotechnology/Pharmaceuticals, Computer Science and Information Technology
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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
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Inventor(s): Robert Schapire, Olga Troyanskaya, Zafer Barutcuoglu, Edoardo Airoldi
Keywords(s):
Category(s): Biotechnology/Pharmaceuticals, Computer Science and Information Technology
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