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TranscriptomicsChromatin immunoprecipitation genome wide location analysis of yeast transcriptional regulators under multiple growth conditions
Genomic binding of 203 transcriptional regulatory proteins under various conditions. Hybridizations of fluorescently-labelled immunoprecipitated vs. whole-cell extract samples on S. cerevisiae intergenic arrays.
ORGANISM(S): Saccharomyces cerevisiae 
2004-09-02 | E-WMIT-10 | biostudies-arrayexpress
UnknownCrowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative.
Not available
S-EPMC11462169 | biostudies-literature
ModelsChowell2022 - Random Forest model to predict efficacy of immune checkpoint blockade across multiple cancer patient cohorts
This is a Random Forest algorithm-based machine learning model called RF16, which incorporates a total of 16 genomic, molecular, demographic, and clinical features to predict the immunotherapy response for a patient. The model assigns a value of 0 for NonResponder and 1 for Responder. Please be awar...
2023-05-09 | BIOMD0000001066 | BioModels
Machine Learning Model FAIR-AIML 
ModelsDiego2021 - Improved Prediction of ICB Efficacy Across Multiple Cancer Types using Random Forests
In this study, the authors had developed a machine learning model to predict immune checkpoint blockade (ICB) response by integrating genomic, molecular, demographic and clinical data from a curated cohort (MSK-IMPACT) with 1479 patients treated with ICB across 16 different types of cancer. This mod...
2024-07-23 | MODEL2407210002 | BioModels
Machine Learning Model 
ProteomicsProteogenomic analysis of chemo-refractory high grade serous ovarian cancer
To improve our understanding of the molecular basis of chemo-refractory high grade serous ovarian cancers (HGSOCs), we characterized the proteogenomic landscape of 242 (refractory and sensitive) HGSOCs, representing one discovery and two independent validation cohorts (spanning four academic centers...
ORGANISM(S): Homo Sapiens 
PXD040742 | panorama
UnknownEvaluation of Outcomes Among Patients With Traumatic Intracranial Hypertension Treated With Decompressive Craniectomy vs Standard Medical Care at 24 Months: A Secondary Analysis of the RESCUEicp Randomized Clinical Trial.
Not available
S-EPMC9171657 | biostudies-literature
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