AIMC Topic: Gene Expression Profiling
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A six‑gene support vector machine classifier contributes to the diagnosis of pediatric septic shock.
Molecular medicine reports
Jan 23, 2020
Septic shock is induced by an uncontrolled inflammatory immune response to pathogens and the survival rate of patients with pediatric septic shock (PSS) is particularly low, with a mortality rate of 25‑50%. The present study explored the mechanisms o...
Genome-scale transcriptional dynamics and environmental biosensing.
Proceedings of the National Academy of Sciences of the United States of America
Jan 23, 2020
Genome-scale technologies have enabled mapping of the complex molecular networks that govern cellular behavior. An emerging theme in the analyses of these networks is that cells use many layers of regulatory feedback to constantly assess and precisel...
Machine Learning Supports Long Noncoding RNAs as Expression Markers for Endometrial Carcinoma.
BioMed research international
Jan 10, 2020
Uterine corpus endometrial carcinoma (UCEC) is the second most common type of gynecological tumor. Several research studies have recently shown the potential of different ncRNAs as biomarkers for prognostics and diagnosis in different types of cancer...
Evaluation of the predictive ability of ultrasound-based assessment of breast cancer using BI-RADS natural language reporting against commercial transcriptome-based tests.
PloS one
Jan 10, 2020
PURPOSE: The objective of this study was to assess the classification capability of Breast Imaging Reporting and Data System (BI-RADS) ultrasound feature descriptors targeting established commercial transcriptomic gene signatures that guide managemen...
FOLFOX treatment response prediction in metastatic or recurrent colorectal cancer patients via machine learning algorithms.
Cancer medicine
Jan 1, 2020
Early identification of metastatic or recurrent colorectal cancer (CRC) patients who will be sensitive to FOLFOX (5-FU, leucovorin and oxaliplatin) therapy is very important. We performed microarray meta-analysis to identify differentially expressed ...
Gene Expression Regulation, Neoplastic
Antineoplastic Combined Chemotherapy Protocols
Humans
Neoplasm Recurrence, Local
Machine Learning
Fluorouracil
Oligonucleotide Array Sequence Analysis
Prognosis
Protein Kinases
Intracellular Signaling Peptides and Proteins
Colorectal Neoplasms
Datasets as Topic
Response Evaluation Criteria in Solid Tumors
Leucovorin
Organoplatinum Compounds
Biomarkers, Tumor
Cell Cycle Proteins
Gene Expression Profiling
Using transfer learning from prior reference knowledge to improve the clustering of single-cell RNA-Seq data.
Scientific reports
Dec 30, 2019
In many research areas scientists are interested in clustering objects within small datasets while making use of prior knowledge from large reference datasets. We propose a method to apply the machine learning concept of transfer learning to unsuperv...
JCDB: a comprehensive knowledge base for Jatropha curcas, an emerging model for woody energy plants.
BMC genomics
Dec 24, 2019
BACKGROUND: Jatropha curcas is an oil-bearing plant, and has seeds with high oil content (~ 40%). Several advantages, such as easy genetic transformation and short generation duration, have led to the emergence of J. curcas as a model for woody energ...
Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq Datasets.
IEEE journal of biomedical and health informatics
Dec 23, 2019
Many clinical studies have revealed the high biological similarities existing among different skin pathological states. These similarities create difficulties in the efficient diagnosis of skin cancer, and encourage to study and design new intelligen...
An improved catalogue of putative synaptic genes defined exclusively by temporal transcription profiles through an ensemble machine learning approach.
BMC genomics
Dec 23, 2019
BACKGROUND: Assembly and function of neuronal synapses require the coordinated expression of a yet undetermined set of genes. Previously, we had trained an ensemble machine learning model to assign a probability of having synaptic function to every p...
Single-cell ATAC-Seq in human pancreatic islets and deep learning upscaling of rare cells reveals cell-specific type 2 diabetes regulatory signatures.
Molecular metabolism
Dec 20, 2019
OBJECTIVE: Type 2 diabetes (T2D) is a complex disease characterized by pancreatic islet dysfunction, insulin resistance, and disruption of blood glucose levels. Genome-wide association studies (GWAS) have identified > 400 independent signals that enc...
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