Publications by authors named "H J Deepak Murthy"
Patients with newly diagnosed acute myeloid leukemia (ND-AML) derive variable survival benefit from venetoclax + hypomethylating agent (Ven-HMA) therapy. The primary objective in the current study was to develop genetic risk models that are predictive of survival and are applicable at the time of diagnosis and after establishing treatment response. Among 400 ND-AML patients treated with Ven-HMA at the Mayo Clinic, 247 (62%) achieved complete remission with (CR) or without (CRi) count recovery.
View Article and Find Full Text PDFMotivation: Genomic signal processing (GSP), which transforms biomolecular sequences into discrete signals for spectral analysis, has provided valuable insights into DNA sequence, structure, and evolution. However, challenges persist with spectral representations of variable-length sequences for tasks like species classification and in interpreting these spectra to identify discriminative DNA regions.
Results: We introduce SpecGMM, a novel framework that integrates sliding window-based Spectral analysis with a Gaussian Mixture Model to transform variable-length DNA sequences into fixed-dimensional spectral representations for taxonomic classification.
Article Synopsis
- - Phenotypic plasticity in tumor cells allows them to adapt and change due to stressors, playing a key role in tumor progression, as illustrated by a case of a 70-year-old man with pleomorphic adenoma who developed pleomorphic liposarcoma.
- - Sarcomas, like liposarcoma, can develop from existing pleomorphic adenomas in the parotid gland, with only a few documented cases of primary parotid liposarcoma.
- - This case report examines the uncharted adenoma-carcinoma-sarcoma progression in pleomorphic adenomas, aiming to provide insights for treatment planning and management from a surgical oncology standpoint.
Understanding the fundamental frequency and harmonic content of audio signals is crucial for many applications in music analysis, including music transcription, audio synthesis, and genre identification. This study formulates a signal processing approach combining Linear Prediction (LP) analysis and the Cent scale to accurately characterize the pitch and harmonic structure of the audio signals. Pitch tracking on the LP spectrum in the Cent scale provides more accurate and reliable pitch estimation, especially in the presence of noise or overlapping harmonics.
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