A Novel Human Diabetes Biomarker Recognition Approach Using Fuzzy Rough Multigranulation Nearest Neighbour Classifier ModelInterdisciplinary Sciences: Computational Life Sciences - Tập 12 - Trang 461-475 - 2020
Swarup Kr Ghosh, Anupam Ghosh
The selection of gene identifier from microarray databases is a challenging task since microarray contains large number of gene attributes for a few samples. This article proposes a novel fuzzy-rough set-based gene expression features selection using fuzzy-rough reduct under multi-granular space for human diabetes patient. Firstly, fuzzy multi-granular gain has been computed from the expression da...... hiện toàn bộ
Predicting Km values of beta-glucosidases using cellobiose as substrateInterdisciplinary Sciences: Computational Life Sciences - Tập 4 - Trang 46-53 - 2012
Shao-Min Yan, De-Qiang Shi, Hao Nong, Guang Wu
The Michaelis-Menten constant Km is a very important parameter to relate enzyme with its substrate in enzymatic reaction. Although Km can be experimentally determined, the Km values are not easily available in literature. With rapid increase of newly designed enzymes, we face the shortage of parameters related to enzymatic reactions. The beta-glucosidase is a crucial enzyme for cellulose hydrolysi...... hiện toàn bộ
Gene Selection in a Single Cell Gene Space Based on D–S Evidence TheoryInterdisciplinary Sciences: Computational Life Sciences - Tập 14 - Trang 722-744 - 2022
Zhaowen Li, Qinli Zhang, Pei Wang, Fang Liu, Yan Song, Ching-Feng Wen
If the samples, features and information values in a real-valued information system are cells, genes and gene expression values, respectively, then for convenience, this system is said to be a single cell gene space. In the era of big data, people are faced with high dimensional gene expression data with redundancy and noise causing its strong uncertainty. D–S evidence theory excels at tackling th...... hiện toàn bộ
Differential Diagnosis of DCIS and Fibroadenoma Based on Ultrasound Images: a Difference-Based Self-Supervised ApproachInterdisciplinary Sciences: Computational Life Sciences - Tập 15 - Trang 262-272 - 2023
Jin Yin, Jia-Jun Qiu, Jing-Yan Liu, Yi-Yue Li, Qi-Cheng Lao, Xiao-Rong Zhong, Mengling Feng, Hao Du, Shao-Liang Peng, Yu-Lan Peng
Differentiation of ductal carcinoma in situ (DCIS, a precancerous lesion of the breast) from fibroadenoma (FA) using ultrasonography is significant for the early prevention of malignant breast tumors. Radiomics-based artificial intelligence (AI) can provide additional diagnostic information but usually requires extensive labeling efforts by clinicians with specialized knowledge. This study aims to...... hiện toàn bộ
ConnectViz: Accelerated Approach for Brain Structural Connectivity Using Delaunay TriangulationInterdisciplinary Sciences: Computational Life Sciences - Tập 8 - Trang 53-64 - 2015
A. M. Adeshina, R. Hashim
Stroke is a cardiovascular disease with high mortality and long-term disability in the world. Normal functioning of the brain is dependent on the adequate supply of oxygen and nutrients to the brain complex network through the blood vessels. Stroke, occasionally a hemorrhagic stroke, ischemia or other blood vessel dysfunctions can affect patients during a cerebrovascular incident. Structurally, th...... hiện toàn bộ
A Novel Deep-Learning-Based CADx Architecture for Classification of Thyroid Nodules Using Ultrasound ImagesInterdisciplinary Sciences: Computational Life Sciences - Tập 15 - Trang 360-373 - 2023
Volkan Göreke
Nodules of thyroid cancer occur in the cells of the thyroid as benign or malign types. Thyroid sonographic images are mostly used for diagnosis of thyroid cancer. The aim of this study is to introduce a computer-aided diagnosis system that can classify the thyroid nodules with high accuracy using the data gathered from ultrasound images. Acquisition and labeling of sub-images were performed by a s...... hiện toàn bộ
Chemical-protein interactome and its application in off-target identificationInterdisciplinary Sciences: Computational Life Sciences - Tập 3 - Trang 22-30 - 2011
Lun Yang, Ke-Jian Wang, Li-Shan Wang, Anil G. Jegga, Sheng-Ying Qin, Guang He, Jian Chen, Yue Xiao, Lin He
Drugs exert their therapeutic and adverse effects by interacting with molecular targets. Although designed to interact with specific targets in a desirable manner, drug molecules often bind to unexpected proteins (off-targets). By activating or inhibiting off-targets and the associated biological processes and pathways, the resulting chemical-protein interactions can influence drug reaction direct...... hiện toàn bộ
Risk Factors Analysis and Death Prediction in Some Life-Threatening Ailments Using Chi-Square Case-Based Reasoning (χ2 CBR) ModelInterdisciplinary Sciences: Computational Life Sciences - Tập 10 - Trang 854-874 - 2018
D. A. Adeniyi, Z. Wei, Y. Yang
A wealth of data are available within the health care system, however, effective analysis tools for exploring the hidden patterns in these datasets are lacking. To alleviate this limitation, this paper proposes a simple but promising hybrid predictive model by suitably combining the Chi-square distance measurement with case-based reasoning technique. The study presents the realization of an automa...... hiện toàn bộ
Computational approach towards finding evolutionary distance and gene order using promoter sequences of central metabolic pathwayInterdisciplinary Sciences: Computational Life Sciences - - 2009
Meera A, Lalitha Rangarajan, Savithri Bhat
The comparative analysis of motifs of promoter sequences of the genes encoding enzymes of metabolic pathways such as glycolysis and kreb cycle in different genomes can give insights into the understanding of evolutionary and organizational relationships among both the species as well as enzymes. The comparison of resulting analysis with those of the evolutionary distances drawn considering coding ...... hiện toàn bộ