[HTML][HTML] Machine learning algorithms reveal potential miRNAs biomarkers in gastric cancer
Gastric cancer is the high mortality rate cancers globally, and the current survival rate is 30%
even with the use of combination therapies. Recently, mounting evidence indicates the …
even with the use of combination therapies. Recently, mounting evidence indicates the …
[HTML][HTML] Bioinformatics analysis and machine learning approach applied to the identification of novel key genes involved in non-alcoholic fatty liver disease
Non-alcoholic fatty liver disease (NAFLD) comprises a range of chronic liver diseases that
result from the accumulation of excess triglycerides in the liver, and which, in its early …
result from the accumulation of excess triglycerides in the liver, and which, in its early …
[HTML][HTML] Down regulation of Cathepsin W is associated with poor prognosis in pancreatic cancer
F Khojasteh-Leylakoohi, R Mohit, N Khalili-Tanha… - Scientific reports, 2023 - nature.com
Pancreatic ductal adenocarcinoma (PDAC) is associated with a very poor prognosis.
Therefore, there has been a focus on identifying new biomarkers for its early diagnosis and …
Therefore, there has been a focus on identifying new biomarkers for its early diagnosis and …
FIAMol-AB: A feature fusion and attention-based deep learning method for enhanced antibiotic discovery
Antibiotic resistance continues to be a growing concern for global health, accentuating the
need for novel antibiotic discoveries. Traditional methodologies in this field have relied …
need for novel antibiotic discoveries. Traditional methodologies in this field have relied …
[HTML][HTML] The Prognostic Value of ASPHD1 and ZBTB12 in Colorectal Cancer: A Machine Learning-Based Integrated Bioinformatics Approach
Simple Summary Colorectal cancer (CRC) is among the leading causes of cancer-related
deaths. Despite extensive efforts, a limited number of biomarkers and therapeutic targets …
deaths. Despite extensive efforts, a limited number of biomarkers and therapeutic targets …
Synergistic Combination of Machine Learning and Evolutionary and Heuristic Algorithms for Handling Imbalance in Biological and Biomedical Datasets
Due to the advent of Next Generation Sequencing and multiple innovative experimental
techniques there is an exponential increase in biological data. It is necessary to capture …
techniques there is an exponential increase in biological data. It is necessary to capture …
Identification of BCL11A, NTN5, and OGN as diagnosis biomarker of papillary renal cell carcinomas by bioinformatic analysis
Z Haghshenas¹, S Fathi, A Ahmadzadeh, E Nazari - 2024 - researchsquare.com
The prevalence of papillary renal cell carcinomas is estimated to be between 10% and 15.
At this time, there is no effective therapeutic approach available for patients with advanced …
At this time, there is no effective therapeutic approach available for patients with advanced …
[PDF][PDF] The Prognostic Value of ASPHD1 and ZBTB12 in Colorectal Cancer: A Machine Learning-Based Integrated Bioinformatics Approach. Cancers 2023, 15, 4300
Introduction: Colorectal cancer (CRC) is among the leading causes of cancer-related
deaths. Despite extensive efforts, a limited number of biomarkers and therapeutic targets …
deaths. Despite extensive efforts, a limited number of biomarkers and therapeutic targets …