Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Samuel Bharti"'
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Functional genomics studies have helped researchers annotate differentially expressed gene lists, extract gene expression signatures, and identify biological pathways from omics profiling experiments conducted on biological samples. The current genes
Externí odkaz:
https://doaj.org/article/89be6051bba04951b3f8659ca9f30353
Publikováno v:
Frontiers in Big Data, Vol 4 (2021)
Externí odkaz:
https://doaj.org/article/b33805825381456bac8a575129c1766e
Publikováno v:
Frontiers in Big Data, Vol 4 (2021)
Unsupervised learning techniques, such as clustering and embedding, have been increasingly popular to cluster biomedical samples from high-dimensional biomedical data. Extracting clinical data or sample meta-data shared in common among biomedical sam
Externí odkaz:
https://doaj.org/article/f51a8838d56f47ff861e6f335e441693
Autor:
Priyansh Srivastava, Mehak Talwar, Aishwarya Yadav, Alakto Choudhary, Sabyasachi Mohanty, Samuel Bharti, Priyanka Narad, Abhishek Sengupta
Publikováno v:
F1000Research, Vol 9 (2021)
Vitiligo is a disease of mysterious origins in the context of its occurrence and pathogenesis. The autoinflammatory theory is perhaps the most widely accepted theory that discusses the occurrence of Vitiligo. The theory elaborates the clinical associ
Externí odkaz:
https://doaj.org/article/ee3aed7913ab4e2496b5f67c81b2b4cd
Publikováno v:
Computational Biology and Chemistry. 103:107818
Publikováno v:
Journal of Biomolecular Structure and Dynamics. 40:4570-4578
Stem cells are an excellent resource in translational medicine however much is known only in terms of transcriptional and epigenetic regulation of human embryonic stem cells (hESCs). Metabolic regulation of hESCs is still unexplored in many ways, par
Publikováno v:
International Journal of Peptide Research and Therapeutics. 28
Publikováno v:
Frontiers in genetics. 13
Functional genomics studies have helped researchers annotate differentially expressed gene lists, extract gene expression signatures, and identify biological pathways from omics profiling experiments conducted on biological samples. The current genes
Publikováno v:
Frontiers in Big Data, Vol 4 (2021)
Frontiers in Big Data
Frontiers in Big Data
Unsupervised learning techniques, such as clustering and embedding, have been increasingly popular to cluster biomedical samples from high-dimensional biomedical data. Extracting clinical data or sample meta-data shared in common among biomedical sam
Autor:
Priyanka Narad, Alakto Choudhury, Samuel Bharti, Parul Chugh, Abhishek Sengupta, Seema Bhatnagar
The outbreak of COVID-19 had spread at a deadly rate since its onset at Wuhan, China and is now spread across 216 countries and has affected more than 6 million people all over the world. The global response throughout the world has been primarily th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2512c882f62a17574e39ac6f2ab19bf2
https://doi.org/10.1101/2020.06.02.20120360
https://doi.org/10.1101/2020.06.02.20120360