Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Vaibhav Rajan"'
Autor:
Siva Rajesh Kasa, Vaibhav Rajan
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Clustering is a fundamental tool for exploratory data analysis, and is ubiquitous across scientific disciplines. Gaussian Mixture Model (GMM) is a popular probabilistic and interpretable model for clustering. In many practical settings, the
Externí odkaz:
https://doaj.org/article/857f9549b6bf428dab62921996aaa57a
Autor:
Ziqi Zhang, Haoran Sun, Ragunathan Mariappan, Xi Chen, Xinyu Chen, Mika S. Jain, Mirjana Efremova, Sarah A. Teichmann, Vaibhav Rajan, Xiuwei Zhang
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-16 (2023)
Many methods for single cell data integration have been developed, though mosaic integration remains challenging. Here the authors present scMoMaT, a mosaic integration method for single cell multi-modality data from multiple batches, that jointly le
Externí odkaz:
https://doaj.org/article/c9a327a9fd914f9a8225b56b9fdade17
Publikováno v:
Remote Sensing, Vol 15, Iss 11, p 2924 (2023)
Cultural heritage is under tremendous pressure in the rapidly growing and transforming cities of the global south. Historic cities and towns are often faced with the dilemma of having to preserve old monuments while responding to the pressure of adap
Externí odkaz:
https://doaj.org/article/a05a5d7516a3426998e27aa779413a3f
Publikováno v:
JMIR Medical Informatics, Vol 10, Iss 1, p e28842 (2022)
BackgroundPatient representation learning aims to learn features, also called representations, from input sources automatically, often in an unsupervised manner, for use in predictive models. This obviates the need for cumbersome, time- and resource-
Externí odkaz:
https://doaj.org/article/31d5a543ae824c098bf8d0023d64e68a
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 10, p e32730 (2021)
BackgroundAdverse drug events (ADEs) are unintended side effects of drugs that cause substantial clinical and economic burdens globally. Not all ADEs are discovered during clinical trials; therefore, postmarketing surveillance, called pharmacovigilan
Externí odkaz:
https://doaj.org/article/e1d849333e4f47b49ecc911bfc3b5c06
Autor:
Vijay Huddar, Bapu Koundinya Desiraju, Vaibhav Rajan, Sakyajit Bhattacharya, Shourya Roy, Chandan K. Reddy
Publikováno v:
IEEE Access, Vol 4, Pp 7988-8001 (2016)
Patients in hospitals, particularly in critical care, are susceptible to many complications affecting morbidity and mortality. Digitized clinical data in electronic medical records can be effectively used to develop machine learning models to identif
Externí odkaz:
https://doaj.org/article/5f5507d9bdb540898e18a182b62c55fc
Publikováno v:
PLoS ONE, Vol 13, Iss 2, p e0193259 (2018)
An Acute Hypotensive Episode (AHE) is the sudden onset of a sustained period of low blood pressure and is one among the most critical conditions in Intensive Care Units (ICU). Without timely medical care, it can lead to an irreversible organ damage a
Externí odkaz:
https://doaj.org/article/08767761ef894203ad4a4b1ae0bb92d3
Publikováno v:
Bioinformatics. 38:4554-4561
Motivation In many biomedical studies, there arises the need to integrate data from multiple directly or indirectly related sources. Collective matrix factorization (CMF) and its variants are models designed to collectively learn from arbitrary colle
Publikováno v:
Remote Sensing; Volume 15; Issue 11; Pages: 2924
Cultural heritage is under tremendous pressure in the rapidly growing and transforming cities of the global south. Historic cities and towns are often faced with the dilemma of having to preserve old monuments while responding to the pressure of adap
scMoMaT: a unified framework for single cell mosaic integration and multi-modal bio-marker detection
Autor:
Ziqi Zhang, Haoran Sun, Ragunathan Mariappan, Xi Chen, Xinyu Chen, Mika Sarkin Jain, Mirjana Efremova, Sarah Teichmann, Vaibhav Rajan, Xiuwei Zhang
Single cell data integration methods aim to integrate cells across data batches and modalities, and data integration tasks can be categorized into horizontal, vertical, diagonal, and mosaic integration, where mosaic integration is the most general an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61e70030da7988bcc8879f2c99fdbd67
https://doi.org/10.21203/rs.3.rs-2022586/v1
https://doi.org/10.21203/rs.3.rs-2022586/v1