AIMC Topic: Signal Transduction
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Exploring the Study of miR-1301 Inhibiting the Proliferation and Migration of Squamous Cell Carcinoma YD-38 Cells through PI3K/AKT Pathway under Deep Learning Medical Images.
Computational intelligence and neuroscience
Feb 10, 2022
With the rapid development and application of deep learning medical image recognition, natural language processing, and other fields, at the same time, deep learning has become the most popular research direction in the field of image processing and ...
The use of machine learning to discover regulatory networks controlling biological systems.
Molecular cell
Jan 10, 2022
Biological systems are composed of a vast web of multiscale molecular interactors and interactions. High-throughput technologies, both bulk and single cell, now allow for investigation of the properties and quantities of these interactors. Computatio...
Mini-batch optimization enables training of ODE models on large-scale datasets.
Nature communications
Jan 10, 2022
Quantitative dynamic models are widely used to study cellular signal processing. A critical step in modelling is the estimation of unknown model parameters from experimental data. As model sizes and datasets are steadily growing, established paramete...
Systems biology and machine learning approaches identify drug targets in diabetic nephropathy.
Scientific reports
Dec 6, 2021
Diabetic nephropathy (DN), the leading cause of end-stage renal disease, has become a massive global health burden. Despite considerable efforts, the underlying mechanisms have not yet been comprehensively understood. In this study, a systematic appr...
Gene Regulatory Networks
Mice
Diabetic Nephropathies
Computational Biology
Systems Biology
Male
Global Health
Drug Design
Gene Expression Profiling
MicroRNAs
Regression Analysis
Principal Component Analysis
Linear Models
Chemistry, Pharmaceutical
Epigenesis, Genetic
Signal Transduction
Support Vector Machine
Cluster Analysis
Humans
Machine Learning
Algorithms
Animals
Microarray Analysis
Kidney Medulla
Oligonucleotide Array Sequence Analysis
Mice, Inbred DBA
Kidney Cortex
A disease network-based deep learning approach for characterizing melanoma.
International journal of cancer
Nov 17, 2021
Multiple types of genomic variations are present in cutaneous melanoma and some of the genomic features may have an impact on the prognosis of the disease. The access to genomics data via public repositories such as The Cancer Genome Atlas (TCGA) all...
Time-resolved in vivo ubiquitinome profiling by DIA-MS reveals USP7 targets on a proteome-wide scale.
Nature communications
Sep 13, 2021
Mass spectrometry (MS)-based ubiquitinomics provides system-level understanding of ubiquitin signaling. Here we present a scalable workflow for deep and precise in vivo ubiquitinome profiling, coupling an improved sample preparation protocol with dat...
A machine learning framework for predicting drug-drug interactions.
Scientific reports
Sep 2, 2021
Understanding drug-drug interactions is an essential step to reduce the risk of adverse drug events before clinical drug co-prescription. Existing methods, commonly integrating heterogeneous data to increase model performance, often suffer from a hig...
HOX cluster and their cofactors showed an altered expression pattern in eutopic and ectopic endometriosis tissues.
Reproductive biology and endocrinology : RB&E
Sep 1, 2021
Endometriosis is major gynecological disease that affects over 10% of women worldwide and 30%-50% of these women have pelvic pain, abnormal uterine bleeding and infertility. The cause of endometriosis is unknown and there is no definite cure mainly b...
Identification of conserved transcriptome features between humans and Drosophila in the aging brain utilizing machine learning on combined data from the NIH Sequence Read Archive.
PloS one
Aug 11, 2021
Aging is universal, yet characterizing the molecular changes that occur in aging which lead to an increased risk for neurological disease remains a challenging problem. Aging affects the prefrontal cortex (PFC), which governs executive function, lear...
The Emerging Role of Long Non-Coding RNAs and MicroRNAs in Neurodegenerative Diseases: A Perspective of Machine Learning.
Biomolecules
Jul 31, 2021
Neurodegenerative diseases (NDs) are characterized by progressive neuronal dysfunction and death of brain cells population. As the early manifestations of NDs are similar, their symptoms are difficult to distinguish, making the timely detection and d...
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