Adverse outcome pathways, key events, and radiation risk assessment
RJ Preston, W Rühm, EI Azzam, JD Boice… - … journal of radiation …, 2021 - Taylor & Francis
The overall aim of this contribution to the 'Second Bill Morgan Memorial Special Issue'is to
provide a high-level review of a recent report developed by a Committee for the National …
provide a high-level review of a recent report developed by a Committee for the National …
Four‐gene signature based on machine learning filtration could predict prognosis of patients with breast cancer
Background This study aims to propose a breast cancer prediction model for early diagnosis
and prognosis management of breast cancer. Objective In order to explore the pathogenesis …
and prognosis management of breast cancer. Objective In order to explore the pathogenesis …
[PDF][PDF] Machine learning techniques in biological data classification and clustering: Initiation of a scientific voyage
AK Banerjee, N Arora - Journal of PeerScientist, 2020 - peerscientist.com
Machine learning (ML) techniques have revolutionized the way of data classification,
clustering, segregation, and novel element identification. ML techniques are having …
clustering, segregation, and novel element identification. ML techniques are having …
[PDF][PDF] Identification of key genes and their microRNAs in glioma: evidence from bioinformatic analysis
X Wen, M Fu, W Wu, Z Zeng, K Zheng - Research Square, 2020 - scholar.archive.org
Identi cation of key genes and their microRNAs in glioma: Evidence from bioinformatic analysis
Page 1 Page 1/22 Identi cation of key genes and their microRNAs in glioma: Evidence from …
Page 1 Page 1/22 Identi cation of key genes and their microRNAs in glioma: Evidence from …
Personalized Immunology in Cancer: Paving the Way Towards a Better Quality of Life
A Esmaeilzadeh, E Khosh - Multidisciplinary Cancer Investigation, 2021 - mcijournal.com
A conventional treating method in medicine is based on signs and symptoms. A so-called
term “one size fits all” relates to this approach, and it does not take the patients into account …
term “one size fits all” relates to this approach, and it does not take the patients into account …