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Akademický článek
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Publikováno v:
Frontiers in Big Data, Vol 4 (2021)
The US Drought Monitor (USDM) is a hallmark in real time drought monitoring and assessment as it was developed by multiple agencies to provide an accurate and timely assessment of drought conditions in the US on a weekly basis. The map is built based
Externí odkaz:
https://doaj.org/article/b82df35832a94046887f98753b3552d3
Autor:
Anshika Singh, Ankit Garg
Scientific publications are essential sources of information for researchers across various fields. However, the increasing number of publications has made it challenging for researchers to keep up with the latest advancements. The task of extracting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::b63fe160f70763994a1314f96d0383d1
https://zenodo.org/record/8171838
https://zenodo.org/record/8171838
Virtual screening is an essential part of the modern drug design pipeline, which significantly accelerates the discovery of new drug candidates. Structure-based virtual screening involves ligand conformational sampling, which is often followed by re-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8028bc9139a04176df053ed7048d996f
https://hal.archives-ouvertes.fr/hal-03342508/file/Convex-PL-Regression-biorxiv.pdf
https://hal.archives-ouvertes.fr/hal-03342508/file/Convex-PL-Regression-biorxiv.pdf
Autor:
Stephen M. Techtmann, Ryan B. Ghannam
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 19, Iss, Pp 1092-1107 (2021)
Computational and Structural Biotechnology Journal
Computational and Structural Biotechnology Journal
Graphical abstract
Advances in nucleic acid sequencing technology have enabled expansion of our ability to profile microbial diversity. These large datasets of taxonomic and functional diversity are key to better understanding microbial ecology.
Advances in nucleic acid sequencing technology have enabled expansion of our ability to profile microbial diversity. These large datasets of taxonomic and functional diversity are key to better understanding microbial ecology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e08600cfc4157ede957af097d02ed011
https://doi.org/10.1016/j.csbj.2021.01.028
https://doi.org/10.1016/j.csbj.2021.01.028
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 19, Iss, Pp 5047-5058 (2021)
Computational and Structural Biotechnology Journal
Computational and Structural Biotechnology Journal
Graphical abstract
Highlights • Automatic assignment of metabolites of 2D-TOCSY NMR spectra. • Semi-supervised learning for metabolic profiling. • Deconvolution and metabolic profiling of 2D NMR spectra using Machine Learning. • Accurate
Highlights • Automatic assignment of metabolites of 2D-TOCSY NMR spectra. • Semi-supervised learning for metabolic profiling. • Deconvolution and metabolic profiling of 2D NMR spectra using Machine Learning. • Accurate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66d752b43361cde3e52146504848e6b4
http://www.sciencedirect.com/science/article/pii/S2001037021003792
http://www.sciencedirect.com/science/article/pii/S2001037021003792
Autor:
Victor Maojo, Nereida Rodriguez-Fernandez, Adrian Carballal, Carlos Fernandez-Lozano, Francisco J. Novoa, Alejandro Pazos, Paula Carracedo-Reboredo, Francisco Cedrón, Jose Liñares-Blanco
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 19, Iss, Pp 4538-4558 (2021)
RUC. Repositorio da Universidade da Coruña
instname
Computational and Structural Biotechnology Journal
RUC. Repositorio da Universidade da Coruña
instname
Computational and Structural Biotechnology Journal
Graphical abstract
Highlights • Machine Learning in drug discovery has greatly benefited the pharmaceutical industry. • Application of machine algorithms must entail a robust design in real clinical tasks. • Trending machine learning algor
Highlights • Machine Learning in drug discovery has greatly benefited the pharmaceutical industry. • Application of machine algorithms must entail a robust design in real clinical tasks. • Trending machine learning algor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1455b1a18d7c6c8d727e34d6b7d78f8
http://www.sciencedirect.com/science/article/pii/S2001037021003421
http://www.sciencedirect.com/science/article/pii/S2001037021003421
Akademický článek
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Autor:
Wantao Wu, Zeyu Wang, Quan Cheng, Zhixiong Liu, Yue-Bei Luo, Liyang Zhang, Songshan Feng, Hao Zhang, Hui Cao, Ziyu Dai
Publikováno v:
Computational and Structural Biotechnology Journal
Computational and Structural Biotechnology Journal, Vol 19, Iss, Pp 4603-4618 (2021)
Computational and Structural Biotechnology Journal, Vol 19, Iss, Pp 4603-4618 (2021)
Graphical abstract
Background Gliomas are one of the most common types of primary tumors in central nervous system. Previous studies have found that macrophages actively participate in tumor growth. Methods Weighted gene co-expression network an
Background Gliomas are one of the most common types of primary tumors in central nervous system. Previous studies have found that macrophages actively participate in tumor growth. Methods Weighted gene co-expression network an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::763968b5a5d36cde2a8aa21a8bf7955a
https://pubmed.ncbi.nlm.nih.gov/34471502
https://pubmed.ncbi.nlm.nih.gov/34471502
Publikováno v:
International Journal of Medical Informatics
Highlights • This review examined the literature on some digital advancements that may potentially impact and leverage in electronic health record systems. • Existing digital transformation solutions have showed potential for optimizing electroni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d7d5e31ed3f94803df3ba26c4e61205
http://europepmc.org/articles/PMC8223493
http://europepmc.org/articles/PMC8223493