Nophar Geifman
Cited by
Cited by
Evidence for benefit of statins to modify cognitive decline and risk in Alzheimer’s disease
N Geifman, RD Brinton, RE Kennedy, LS Schneider, AJ Butte
Alzheimer's research & therapy 9 (1), 1-10, 2017
Opening clinical trial data: are the voluntary data-sharing portals enough?
N Geifman, J Bollyky, S Bhattacharya, AJ Butte
BMC medicine 13 (1), 1-3, 2015
Integrated multi-omics analyses in oncology: a review of machine learning methods and tools
G Nicora, F Vitali, A Dagliati, N Geifman, R Bellazzi
Frontiers in oncology 10, 1030, 2020
Proteomics and informatics for understanding phases and identifying biomarkers in COVID-19 disease
AD Whetton, GW Preston, S Abubeker, N Geifman
Journal of proteome research 19 (11), 4219-4232, 2020
Redefining meaningful age groups in the context of disease
N Geifman, R Cohen, E Rubin
Age 35 (6), 2357-2366, 2013
The mouse age phenome knowledgebase and disease-specific inter-species age mapping
N Geifman, E Rubin
PloS one 8 (12), e81114, 2013
Multimorbidity states associated with higher mortality rates in organ dysfunction and sepsis: a data-driven analysis in critical care
Z Zador, A Landry, MD Cusimano, N Geifman
Critical Care 23 (1), 1-11, 2019
Defining health information exchange: scoping review of published definitions
A Akhlaq, A Sheikh, C Pagliari
BMJ Health & Care Informatics 23 (4), 2016
The Neural/Immune Gene Ontology: clipping the Gene Ontology for neurological and immunological systems
N Geifman, A Monsonego, E Rubin
BMC bioinformatics 11 (1), 1-14, 2010
Data-driven identification of endophenotypes of Alzheimer’s disease progression: implications for clinical trials and therapeutic interventions
N Geifman, RE Kennedy, LS Schneider, I Buchan, RD Brinton
Alzheimer's research & therapy 10 (1), 1-7, 2018
Longitudinal trajectories of severe wheeze exacerbations from infancy to school age and their association with early‐life risk factors and late asthma outcomes
M Deliu, S Fontanella, S Haider, M Sperrin, N Geifman, C Murray, ...
Clinical & Experimental Allergy 50 (3), 315-324, 2020
Towards an age-phenome knowledge-base
N Geifman, E Rubin
BMC bioinformatics 12 (1), 1-9, 2011
CHILD: a new tool for detecting low-abundance insertions and deletions in standard sequence traces
I Zhidkov, R Cohen, N Geifman, D Mishmar, E Rubin
Nucleic acids research 39 (7), e47-e47, 2011
Do cancer clinical trial populations truly represent cancer patients? A comparison of open clinical trials to the cancer genome atlas
N Geifman, AJ Butte
Biocomputing 2016: Proceedings of the Pacific Symposium, 309-320, 2016
New drug candidates for treatment of atypical meningiomas: An integrated approach using gene expression signatures for drug repurposing
Z Zador, AT King, N Geifman
PLoS One 13 (3), e0194701, 2018
Informatics for Health 2017: Advancing both science and practice
PJ Scott, R Cornet, C McCowan, N Peek, P Fraccaro, N Geifman, ...
Journal of innovation in health informatics, 2017
A patient-level data meta-analysis of standard-of-care treatments from eight prostate cancer clinical trials
N Geifman, AJ Butte
Scientific data 3 (1), 1-9, 2016
The use of missing values in proteomic data-independent acquisition mass spectrometry to enable disease activity discrimination
KA McGurk, A Dagliati, D Chiasserini, D Lee, D Plant, I Baricevic-Jones, ...
Bioinformatics 36 (7), 2217-2223, 2020
Statin therapy and risk of Alzheimer's and age‐related neurodegenerative diseases
G Torrandell‐Haro, GL Branigan, F Vitali, N Geifman, JM Zissimopoulos, ...
Alzheimer's & Dementia: Translational Research & Clinical Interventions 6 (1 …, 2020
Pride and prejudice–What can we learn from peer review?
H Le Sueur, A Dagliati, I Buchan, AD Whetton, GP Martin, T Dornan, ...
Medical Teacher 42 (9), 1012-1018, 2020
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