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ORCIDInternational Journal of Bioinformatics Research and Applications, Volume 20
Volume 20, Number 1, 2024
- Banavathu Sridevi, B. John Jaidhan:
A modified UNet-based semantic segmentation architecture for pancreas tumour detection. 1-20 - Uddalak Mitra, Soumya Majumder, Sayantan Bhowmick:
A novel algorithm for genomic STR mining: application to phylogeny reconstruction and taxa identification. 21-41 - Madhusmita Dash
, Annushree Kurmi, Preetisudha Meher, Siddhartha Sankar Satapathy, Nima D. Namsa:
Codon usage in conserved sites is more biased compared to variable sites in the SARS-CoV-2 genome. 42-60 - Drishti Arora, Rakesh Garg, Farhan Asif, Ritvik Garg, Neetu Singla:
Performance evaluation of machine learning classifiers for brain stroke prediction. 61-77 - Salliah Shafi Bhat, Madhina Banu, Gufran Ahmad Ansari:
Predictive analysis for diabetes mellitus prediction using supervised techniques. 78-96
Volume 20, Number 2, 2024
- Santhana Lakshmi Balasubramaniam, Sivanandhan Ganeshan, Selvaraj Natesan, Kapildev Gnanajothi:
DNA barcoding and annotation study on Anisomeles malabarica (L.) R.Br in BOLD system v.4. 97-115 - C. Sivananda Reddy, M. Ramasubba Reddy:
Sparse representation-based motor imagery EEG classification towards asynchronous BCI systems. 116-141 - Harit Kasana, Harish Chander, Ashwani Mathur:
In-silico rituximab protein engineering to improve humanisation and reduce immunogenicity. 142-160 - L. Revathi, Ramaswami Murugesh:
A review of support vector machine in cancer prediction on genomic data. 161-180 - Emon Asad, Ayatullah Faruk Mollah:
Biomarker identification from gene expression: an effective computational pipeline. 181-203
Volume 20, Number 3, 2024
- Pabitra Mitra, Tribeni Prasad Banerjee, Gour Sundar Mitra Thakur, Subrata Jana:
A Dense sub-graph based approach for Automatic detection of Optic Disc. - C. Sundar, M. Ramaswami, M. Chitra Devi:
A Novel Deep Learning-Based Cardiac Disease Classification. - Jyothi Vankara, Santosh Kumar Bejugam:
Diabetic Prediction Framework using Optimization Strategy via Optimal Weighted Score-based Deep Ensemble Network to Support Diabetic Patients. - Muhammad Abdullah Khan, Eesha Adnan, Aena Rasheed, Amna Farrukh, Amna Amin Sethi:
Analysis of Penicillin Binding Sites for Determining Antibiotic Resistance in Pakistan. - Arijit Das Sharma, Himanshu Singh:
In-Silico Design of a Multi-Epitope Vaccine Candidate against Rotaviruses by targeting the Outer Capsid Protein VP-4.
Volume 20, Number 4, 2024
- R. Geetha, D. Annal Priyadarshini, V. Indira, V. Sujatha:
An effective review on the prediction and analysis of infectious lung diseases using machine learning algorithms. - B. Jayanthi, Anjali Kuruvilla:
Ensemble Feature Selection (EFS) And Deep Learning Ensemble (DLE) Classifier For Cervical Cancer Diagnosis. - V. Sumalatha, B. Jansi:
Uniform Distribution Tuna Swarm Optimization (UDTSO) and Deep Neural Network (DNN) for Fetal Health Classification. - Srikant Patnaik, Kakita Murali Gopal, Bijay Paikaray, Biswaranjan Mishra:
A New Machine Learning Approach to Classify MRI of Brain Tumour Using SAE + LSTM. - M. Yogeshwari, Pulla Sujarani:
Utilising Deep Convolutional Neural Networks and Hybrid Clustering Techniques for Predicting Cancer Blood Disorders.
Volume 20, Number 5, 2024
- Fayçal Imedjdouben, Abdelhakim Ridouh, Sarra Mahi:
Autism Spectrum Disorder Detection using Machine Learning Techniques.
Volume 20, Number 6, 2024
- Smritilekha Das, Padmanaban Kuppan:
Optimisation with Deep Learning for Leukaemia Classification in Federated Learning. - Sangita Chaudhari, Amarsinh Vidhate, Saguna Ingle:
Automatic Pectoral Muscles and Artifacts Removal in Mammogram Images for Improved Breast Cancer Diagnosis. - Muhammad Sufyan, Peter Jerome Ishmael Paulino:
Identifying Molecular Subtypes of Breast Cancer using Single Cell RNA-Seq Data Integration and Random Forest Classification.
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