Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Sutanu Nandi"'
Publikováno v:
PLoS ONE, Vol 15, Iss 11, p e0242943 (2020)
Essential gene prediction helps to find minimal genes indispensable for the survival of any organism. Machine learning (ML) algorithms have been useful for the prediction of gene essentiality. However, currently available ML pipelines perform poorly
Externí odkaz:
https://doaj.org/article/16e3bcf73a30409f8bfb2a47df20b237
Autor:
G.K. Patra, Kantha Rao Bhimala, Ashapurna Marndi, Saikat Chowdhury, Jarjish Rahaman, Sutanu Nandi, Ram Rup Sarkar, K.C. Gouda, K.V. Ramesh, Rajesh P. Barnwal, Siddhartha Raj, Anil Saini
Publikováno v:
Handbook of Statistics ISBN: 9780443184307
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::608e80b127e6cedc4052df9851de2ac8
https://doi.org/10.1016/bs.host.2022.12.002
https://doi.org/10.1016/bs.host.2022.12.002
Study of essential genes in disease-causing organisms has wide application in the prediction of therapeutic targets and exploring different clinical strategies. Predicting gene essentiality for large set of genes in non-model, less explored organisms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e5ca45641f12ac249ad0ce7bdc79a6d
https://doi.org/10.1101/2022.11.25.517801
https://doi.org/10.1101/2022.11.25.517801
Publikováno v:
Chemical Biology & Drug Design. 96:1005-1019
The causal role of somatic mutation and its interrelationship with gene expression profile during tumor development has already been observed, which plays a major role to decide the cancer grades and overall survival. Accurate and robust prediction o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2edc2948a6c3f07201778cefe48a6bbe
https://doi.org/10.1111/cbdd.13668
https://doi.org/10.1111/cbdd.13668
Publikováno v:
PLoS ONE
PLoS ONE, Vol 15, Iss 11, p e0242943 (2020)
PLoS ONE, Vol 15, Iss 11, p e0242943 (2020)
Essential gene prediction helps to find minimal genes indispensable for the survival of any organism. Machine learning (ML) algorithms have been useful for the prediction of gene essentiality. However, currently available ML pipelines perform poorly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71e9daae2c7738175950e3435f5f8b01
http://europepmc.org/articles/PMC7703937
http://europepmc.org/articles/PMC7703937
India now ranks 3rd in the list of countries affected due to the COVID-19 pandemic. With more than 0.7 million confirmed COVID–19 cases and a gradual withdrawal of nation-wide lockdown, it is expected India may see a further surge in the number of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fe90aa5d4179d68277c17eed054f961
https://doi.org/10.21203/rs.3.rs-40655/v1
https://doi.org/10.21203/rs.3.rs-40655/v1
The COVID-19 pandemic has affected millions of people and claimed numerous lives already. As of now, there are no available treatments and it has become both imperative and challenging to forecast the COVID-19 cases, which will help to design effecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c775cc148b7f8bdae88b133dbb2097a
https://doi.org/10.21203/rs.3.rs-40499/v1
https://doi.org/10.21203/rs.3.rs-40499/v1
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15903bc65394829e5925abb20e43b5a5
https://doi.org/10.2139/ssrn.3633240
https://doi.org/10.2139/ssrn.3633240
Publikováno v:
Molecular BioSystems. 13:1584-1596
Prediction of essential genes helps to identify a minimal set of genes that are absolutely required for the appropriate functioning and survival of a cell. The available machine learning techniques for essential gene prediction have inherent problems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07ee7a948e35052a560256f39a1a1556
https://doi.org/10.1039/c7mb00234c
https://doi.org/10.1039/c7mb00234c
Publikováno v:
Physical chemistry chemical physics : PCCP. 20(35)
Classical force fields form a computationally efficient avenue for calculating the energetics of large systems. However, due to the constraints of the underlying analytical form, it is sometimes not accurate enough. Quantum mechanical (QM) methods, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83d13cf0395ef091bdf4aa99f4261972
https://pubmed.ncbi.nlm.nih.gov/30156235
https://pubmed.ncbi.nlm.nih.gov/30156235