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Leveraging TCGA gene expression data to build predictive models for cancer drug response.

BMC bioinformatics Sep 30, 2020
BACKGROUND: Machine learning has been utilized to predict cancer drug response from multi-omics data generated from sensitivities of cancer cell lines to different therapeutic compounds. Here, we build machine learning models using gene expression da...
ROC Curve Humans Area Under Curve Machine Learning Gene Expression Regulation, Neoplastic Neoplasms Fluorouracil Databases, Genetic Antineoplastic Agents Deoxycytidine Cluster Analysis Gemcitabine
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DeeplyEssential: a deep neural network for predicting essential genes in microbes.

BMC bioinformatics Sep 30, 2020
BACKGROUND: Essential genes are those genes that are critical for the survival of an organism. The prediction of essential genes in bacteria can provide targets for the design of novel antibiotic compounds or antimicrobial strategies.
Gram-Positive Bacteria Codon Genes, Essential Area Under Curve Gram-Negative Bacteria Neural Networks, Computer ROC Curve Bacteria Cluster Analysis
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Robust edge-based biomarker discovery improves prediction of breast cancer metastasis.

BMC bioinformatics Sep 30, 2020
BACKGROUND: The abundance of molecular profiling of breast cancer tissues entailed active research on molecular marker-based early diagnosis of metastasis. Recently there is a surging interest in combining gene expression with gene networks such as p...
Breast Neoplasms Biomarkers, Tumor ROC Curve Protein Interaction Maps Gene Regulatory Networks Logistic Models Neoplasm Metastasis Support Vector Machine Area Under Curve Humans Female
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Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches.

Journal of neuroengineering and rehabilitation Sep 29, 2020
BACKGROUND: Accurate prediction of motor recovery after stroke is critical for treatment decisions and planning. Machine learning has been proposed to be a promising technique for outcome prediction because of its high accuracy and ability to process...
Physical Therapy Modalities Stroke Rehabilitation Humans Machine Learning ROC Curve Prognosis Recovery of Function Female Aged Stroke Male Middle Aged Quality of Life
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Predicting Procedure Step Performance From Operator and Text Features: A Critical First Step Toward Machine Learning-Driven Procedure Design.

Human factors Sep 28, 2020
OBJECTIVE: The goal of this study is to assess machine learning for predicting procedure performance from operator and procedure characteristics.
Algorithms ROC Curve Logistic Models Random Forest Humans Machine Learning
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Assigning the Origin of Microbial Natural Products by Chemical Space Map and Machine Learning.

Biomolecules Sep 28, 2020
Microbial natural products (NPs) are an important source of drugs, however, their structural diversity remains poorly understood. Here we used our recently reported MinHashed Atom Pair fingerprint with diameter of four bonds (MAP4), a fingerprint sui...
Biological Products Area Under Curve Fungi Machine Learning Databases, Chemical ROC Curve Bacteria
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Artificial Intelligence System to Determine Risk of T1 Colorectal Cancer Metastasis to Lymph Node.

Gastroenterology Sep 24, 2020
BACKGROUND & AIMS: In accordance with guidelines, most patients with T1 colorectal cancers (CRC) undergo surgical resection with lymph node dissection, despite the low incidence (∼10%) of metastasis to lymph nodes. To reduce unnecessary surgical rese...
Humans Machine Learning Lymph Node Excision Neoplasm Staging Japan Risk Assessment Colectomy Aged Colon Lymph Nodes Colonoscopy Colorectal Neoplasms Follow-Up Studies ROC Curve Male Lymphatic Metastasis Retrospective Studies Middle Aged Age Factors Female Risk Factors
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Deep learning radiomics of ultrasonography: Identifying the risk of axillary non-sentinel lymph node involvement in primary breast cancer.

EBioMedicine Sep 24, 2020
BACKGROUND: Completion axillary lymph node dissection is overtreatment for patients with sentinel lymph node (SLN) metastasis in whom the metastatic risk of residual non-SLN (NSLN) is low. However, the National Comprehensive Cancer Network panel posi...
Middle Aged Deep Learning Ultrasonography ROC Curve Young Adult Adult Breast Neoplasms Axilla Multicenter Studies as Topic Image Processing, Computer-Assisted Computational Biology Lymph Nodes Lymphatic Metastasis Humans Retrospective Studies Female Aged
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Lymph node metastasis prediction of papillary thyroid carcinoma based on transfer learning radiomics.

Nature communications Sep 23, 2020
Non-invasive assessment of the risk of lymph node metastasis (LNM) in patients with papillary thyroid carcinoma (PTC) is of great value for the treatment option selection. The purpose of this paper is to develop a transfer learning radiomics (TLR) mo...
Humans Machine Learning Female Adult ROC Curve Lymph Nodes Lymphatic Metastasis Male Thyroid Cancer, Papillary Middle Aged Cohort Studies Thyroid Neoplasms
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Automatic Prediction of MGMT Status in Glioblastoma via Deep Learning-Based MR Image Analysis.

BioMed research international Sep 23, 2020
Methylation of the O-methylguanine methyltransferase (MGMT) gene promoter is correlated with the effectiveness of the current standard of care in glioblastoma patients. In this study, a deep learning pipeline is designed for automatic prediction of M...
Glioblastoma Image Interpretation, Computer-Assisted DNA Modification Methylases DNA Repair Enzymes Tumor Suppressor Proteins Promoter Regions, Genetic Imaging Genomics Humans Brain Brain Neoplasms Deep Learning ROC Curve Magnetic Resonance Imaging DNA Methylation
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