Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Shubham Dokania"'
Publikováno v:
PLoS ONE, Vol 13, Iss 3, p e0193959 (2018)
Prediction of adverse drug reactions is an important problem in drug discovery endeavors which can be addressed with data-driven strategies. SIDER is one of the most reliable and frequently used datasets for identification of key features as well as
Externí odkaz:
https://doaj.org/article/cca8dc69dc27414da0bacb0530f35296
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200731
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a2bf8597995f3544442a81edec3cdc2
https://doi.org/10.1007/978-3-031-20074-8_34
https://doi.org/10.1007/978-3-031-20074-8_34
Autor:
Navjot Singh, Kriti Kathuria, Avneet Kaur, Anupam Jain, Shubham Dokania, Rahul Badhwar, Rakesh Kanji, Ganesh Bagler, Apuroop Sethupathy, Neelansh Garg, Shubham Shukla, Rakhi Nk, Rashmi Nagpal, Arvind Iyer, A. Gupta, Rudraksh Tuwani, Shubhra Agrawal
Publikováno v:
Nucleic Acids Research
Flavor is an expression of olfactory and gustatory sensations experienced through a multitude of chemical processes triggered by molecules. Beyond their key role in defining taste and smell, flavor molecules also regulate metabolic processes with con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5705c4d794262690608e4fbd63789b40
http://europepmc.org/articles/PMC5753196
http://europepmc.org/articles/PMC5753196
Publikováno v:
PLoS ONE
PLoS ONE, Vol 13, Iss 3, p e0193959 (2018)
PLoS ONE, Vol 13, Iss 3, p e0193959 (2018)
Prediction of adverse drug reactions is an important problem in drug discovery endeavors which can be addressed with data-driven strategies. SIDER is one of the most reliable and frequently used datasets for identification of key features as well as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::957946e8d230f386162d794b84ecb51b
http://europepmc.org/articles/PMC5832387
http://europepmc.org/articles/PMC5832387
Publikováno v:
CISS
Self Organizing Migrating Algorithm (SOMA) is a meta-heuristic algorithm based on the self-organizing behavior of individuals in a simulated social environment. SOMA performs iterative computations on a population of potential solutions in the given
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d973877fbecf097486e6a5f686f77d50
http://arxiv.org/abs/1709.03793
http://arxiv.org/abs/1709.03793
Publikováno v:
IJCCI
Operational maturity of biological control systems have fuelled the inspiration for a large number of mathematical and logical models for control, automation and optimisation. The human brain represents the most sophisticated control architecture kno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94057324fa1114333030080c5b0f7e10
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319698991
PReMI
PReMI
Object Tracking has primarily been characterized as the study of object motion trajectory over constraint subspaces under attempts to mimic human efficiency. However, the trend of monotonically increasing applicability and integrated relevance over d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa3d6b900dc25d4a4d931e9cfd465ff2
https://doi.org/10.1007/978-3-319-69900-4_25
https://doi.org/10.1007/978-3-319-69900-4_25