Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Iffat Jabin"'
Autor:
Iffat Jabin, Mohammad Motiur Rahman
Publikováno v:
Network Biology, Vol 11, Iss 2, Pp 68-81 (2021)
Lung cancer is one of the main leading causes of cancer death in all over the world. Accurate prediction of lung cancer survivability can enable physicians to make more reliable decisions about a patient's treatment. The objective of this research is
Externí odkaz:
https://doaj.org/article/d7d5a18cbfd54c4099a1e0113fff83f4
Publikováno v:
Network Biology, Vol 7, Iss 2, Pp 41-56 (2017)
Bioinformatics deals with biological data and analyzes or processes the data using computer science techniques. With the appearance of modern bioinformatics tools, it is now possible to design a drug using these high technologies and open a new area
Externí odkaz:
https://doaj.org/article/71435c23f1db44bbaa8c95e51ad25162
Publikováno v:
Network Biology, Vol 6, Iss 4, Pp 86-100 (2016)
Depression, Major Depression or mental disorder creates severe diseases. Mental illness such as Unipolar Major Depression, Bipolar Disorder, Dysthymia, Schizophrenia, Cardiovascular Diseases (Hypertension, Coronary Heart Disease, Stroke) etc., are kn
Externí odkaz:
https://doaj.org/article/7f196482d3ad40f78968802aa81615f3
Autor:
Rafid Mostafiz, Mohammad Shorif Uddin, Iffat Jabin, Muhammad Minoar Hossain, Mohammad Motiur Rahman
Publikováno v:
International Journal of Ambient Computing and Intelligence. 13:1-18
The brain tumor is one of the most health hazard diseases across the world in recent time. The development of the intelligent system has extended its applications in the automated medical diagnosis domains. However, image-based medical diagnosis resu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::491d5c75f97da10716c501f37f01fcb8
https://doi.org/10.4018/ijaci.293163
https://doi.org/10.4018/ijaci.293163
Publikováno v:
Journal of Integrative Bioinformatics
Journal of Integrative Bioinformatics, Vol 15, Iss 3, Pp 0975-8887 (2018)
Journal of Integrative Bioinformatics, Vol 15, Iss 3, Pp 0975-8887 (2018)
The databases of genomic sequences are growing at an explicative rate because of the increasing growth of living organisms. Compressing deoxyribonucleic acid (DNA) sequences is a momentous task as the databases are getting closest to its threshold. V
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9003fde50fa0a9e250249afb08c5b51
https://pubmed.ncbi.nlm.nih.gov/29470175
https://pubmed.ncbi.nlm.nih.gov/29470175