DeepAutoGlioma: a deep learning autoencoder-based multi-omics data integration and classification tools for glioma subtyping
The classification of glioma subtypes is essential for precision therapy. Due to the heterogeneity of gliomas, the subtype-specific molecular pattern can be captured by integrating and analyzing high-throughpu... (Source: BioData Mining)
Source: BioData Mining - November 15, 2023 Category: Bioinformatics Authors: Sana Munquad and Asim Bikas Das Tags: Research Source Type: research
Research agenda for using artificial intelligence in health governance: interpretive scoping review and framework
The governance of health systems is complex in nature due to several intertwined and multi-dimensional factors contributing to it. Recent challenges of health systems reflect the need for innovative approaches... (Source: BioData Mining)
Source: BioData Mining - October 31, 2023 Category: Bioinformatics Authors: Maryam Ramezani, Amirhossein Takian, Ahad Bakhtiari, Hamid R. Rabiee, Sadegh Ghazanfari and Saharnaz Sazgarnejad Tags: Review Source Type: research
Correction: A prognostic model based on seven immune-related genes predicts the overall survival of patients with hepatocellular carcinoma
(Source: BioData Mining)
Source: BioData Mining - October 26, 2023 Category: Bioinformatics Authors: Qian Yan, Wenjiang Zheng, Boqing Wang, Baoqian Ye, Huiyan Luo, Xinqian Yang, Ping Zhang and Xiongwen Wang Tags: Correction Source Type: research
Prescription pattern analysis of Type 2 Diabetes Mellitus: a cross-sectional study in Isfahan, Iran
Patients with Type 2 Diabetes Mellitus (T2DM) are at a higher risk of polypharmacy and more susceptible to irrational prescriptions; therefore, pharmacological therapy patterns are important to be monitored. T... (Source: BioData Mining)
Source: BioData Mining - October 20, 2023 Category: Bioinformatics Authors: Elnaz Ziad, Somayeh Sadat, Farshad Farzadfar and Mohammad-Reza Malekpour Tags: Research Source Type: research
Attention-based dual-path feature fusion network for automatic skin lesion segmentation
Automatic segmentation of skin lesions is a critical step in Computer Aided Diagnosis (CAD) of melanoma. However, due to the blurring of the lesion boundary, uneven color distribution, and low image contrast, ... (Source: BioData Mining)
Source: BioData Mining - October 9, 2023 Category: Bioinformatics Authors: Zhenxiang He, Xiaoxia Li, Yuling Chen, Nianzu Lv and Yong Cai Tags: Research Source Type: research
Quantum analysis of squiggle data
Squiggle data is the numerical output of DNA and RNA sequencing by the Nanopore next generation sequencing platform. Nanopore sequencing offers expanded applications compared to previous sequencing techniques ... (Source: BioData Mining)
Source: BioData Mining - October 6, 2023 Category: Bioinformatics Authors: Naya Nagy, Matthew Stuart-Edwards, Marius Nagy, Liam Mitchell and Athanasios Zovoilis Tags: Research Source Type: research
Disclosing transcriptomics network-based signatures of glioma heterogeneity using sparse methods
Gliomas are primary malignant brain tumors with poor survival and high resistance to available treatments. Improving the molecular understanding of glioma and disclosing novel biomarkers of tumor development a... (Source: BioData Mining)
Source: BioData Mining - September 26, 2023 Category: Bioinformatics Authors: Sofia Martins, Roberta Coletti and Marta B. Lopes Tags: Research Source Type: research
STAR_outliers: a python package that separates univariate outliers from non-normal distributions
There are not currently any univariate outlier detection algorithms that transform and model arbitrarily shaped distributions to remove univariate outliers. Some algorithms model skew, even fewer model kurtosi... (Source: BioData Mining)
Source: BioData Mining - September 4, 2023 Category: Bioinformatics Authors: John T. Gregg and Jason H. Moore Tags: Software article Source Type: research
Machine learning based study for the classification of Type 2 diabetes mellitus subtypes
Data-driven diabetes research has increased its interest in exploring the heterogeneity of the disease, aiming to support in the development of more specific prognoses and treatments within the so-called precisio... (Source: BioData Mining)
Source: BioData Mining - August 22, 2023 Category: Bioinformatics Authors: Nelson E. Ordo ñez-Guillen, Jose Luis Gonzalez-Compean, Ivan Lopez-Arevalo, Miguel Contreras-Murillo and Edwin Aldana-Bobadilla Tags: Methodology Source Type: research
Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication
Deep learning models can infer cancer patient prognosis from molecular and anatomic pathology information. Recent studies that leveraged information from complementary multimodal data improved prognostication,... (Source: BioData Mining)
Source: BioData Mining - July 22, 2023 Category: Bioinformatics Authors: Zarif L. Azher, Anish Suvarna, Ji-Qing Chen, Ze Zhang, Brock C. Christensen, Lucas A. Salas, Louis J. Vaickus and Joshua J. Levy Tags: Research Source Type: research
Inverse problem for parameters identification in a modified SIRD epidemic model using ensemble neural networks
In this paper, we propose a parameter identification methodology of the SIRD model, an extension of the classical SIR model, that considers the deceased as a separate category. In addition, our model includes ... (Source: BioData Mining)
Source: BioData Mining - July 18, 2023 Category: Bioinformatics Authors: Marian Petrica and Ionel Popescu Tags: Research Source Type: research
Neural network-based prognostic predictive tool for gastric cardiac cancer: the worldwide retrospective study
The incidence of gastric cardiac cancer (GCC) has obviously increased recently with poor prognosis. It ’s necessary to compare GCC prognosis with other gastric sites carcinoma and set up an effective prognostic... (Source: BioData Mining)
Source: BioData Mining - July 18, 2023 Category: Bioinformatics Authors: Wei Li, Minghang Zhang, Siyu Cai, Liangliang Wu, Chao Li, Yuqi He, Guibin Yang, Jinghui Wang and Yuanming Pan Tags: Research Source Type: research
ChatGPT and large language models in academia: opportunities and challenges
The introduction of large language models (LLMs) that allow iterative “chat” in late 2022 is a paradigm shift that enables generation of text often indistinguishable from that written by humans. LLM-based chat... (Source: BioData Mining)
Source: BioData Mining - July 13, 2023 Category: Bioinformatics Authors: Jesse G. Meyer, Ryan J. Urbanowicz, Patrick C. N. Martin, Karen O ’Connor, Ruowang Li, Pei-Chen Peng, Tiffani J. Bright, Nicholas Tatonetti, Kyoung Jae Won, Graciela Gonzalez-Hernandez and Jason H. Moore Tags: Editorial Source Type: research
Overlapping filter bank convolutional neural network for multisubject multicategory motor imagery brain-computer interface
Motor imagery brain-computer interfaces (BCIs) is a classic and potential BCI technology achieving brain computer integration. In motor imagery BCI, the operational frequency band of the EEG greatly affects th... (Source: BioData Mining)
Source: BioData Mining - July 11, 2023 Category: Bioinformatics Authors: Jing Luo, Jundong Li, Qi Mao, Zhenghao Shi, Haiqin Liu, Xiaoyong Ren and Xinhong Hei Tags: Methodology Source Type: research
Comparison of cancer subtype identification methods combined with feature selection methods in omics data analysis
Cancer subtype identification is important for the early diagnosis of cancer and the provision of adequate treatment. Prior to identifying the subtype of cancer in a patient, feature selection is also crucial ... (Source: BioData Mining)
Source: BioData Mining - July 7, 2023 Category: Bioinformatics Authors: JiYoon Park, Jae Won Lee and Mira Park Tags: Methodology Source Type: research
