Jiangning (John) Song

MONASH UNIVERSITY

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Articles (20)

Collaborators (10)

Seiya Imoto

University of Tokyo

Zhikang Wang

Monash University Malaysia.

Lachlan Coin

University of Melbourne

Yuming Guo

MONASH UNIVERSITY

Robin B. Gasser

Redmond Barry Distinguished Professor

University of Melbourne

Anton Peleg

MONASH UNIVERSITY

Jichao Zhao

University of Auckland

Yanming Liu

MONASH UNIVERSITY

Tao Wang

University of Melbourne

Geoffrey Webb

MONASH UNIVERSITY

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Jiangning (John) Song

Research Interests

Explore related searches

Contact this professor

Articles (20)

Collaborators (10)

Seiya Imoto

Zhikang Wang

Lachlan Coin

Yuming Guo

Robin B. Gasser

Anton Peleg

Jichao Zhao

Yanming Liu

Tao Wang

Geoffrey Webb

Make your next move.

Jiangning (John) Song

Research Interests

Explore related searches

Contact this professor

Articles (20)

Inference of Essential Genes of the Parasite Haemonchus contortus via Machine Learning

Dual-stream multi-dependency graph neural network enables precise cancer survival analysis

Predicting Pseudomonas aeruginosa drug resistance using artificial intelligence and clinical MALDI-TOF mass spectra

Advancing microRNA target site prediction with transformer and base-pairing patterns

MetalTrans: A Biological Language Model-Based Approach for Predicting Disease-Associated Mutations in Protein Metal-Binding Sites

The Mitogenome of the Haecon-5 Strain of Haemonchus contortus and a Comparative Analysis of Its Nucleotide Variation with Other Laboratory Strains

Deep learning approaches for non-coding genetic variant effect prediction: current progress and future prospects

Noninvasive Blood Glucose Detection System With Infrared Pulse Sensor and Hybrid Feature Neural Network

PLANNER: A Multi-Scale Deep Language Model for the Origins of Replication Site Prediction

CTEC: a cross-tabulation ensemble clustering approach for single-cell RNA sequencing data analysis

Association between long-term exposure to wildfire-related PM<sub>2.5</sub> and mortality: A longitudinal analysis of the UK Biobank

Digerati – A multipath parallel hybrid deep learning framework for the identification of mycobacterial PE/PPE proteins

DeepAIR: A deep learning framework for effective integration of sequence and 3D structure to enable adaptive immune receptor analysis

Genome-Wide Analysis of Haemonchus contortus Proteases and Protease Inhibitors Using Advanced Informatics Provides Insights into Parasite Biology and Host–Parasite Interactions

TIMER is a Siamese neural network-based framework for identifying both general and species-specific bacterial promoters

iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities.

COPPER: an ensemble deep-learning approach for identifying exclusive virus-derived small interfering RNAs in plants

Preterm birth and term low birth weight associated with wildfire-specific PM2.5: A cohort study in New South Wales, Australia during 2016–2019

Global estimates of daily ambient fine particulate matter concentrations and unequal spatiotemporal distribution of population exposure: a machine learning modelling study.

PFresGO: an attention mechanism-based deep-learning approach for protein annotation by integrating gene ontology inter-relationships

Collaborators (10)

Seiya Imoto

Zhikang Wang

Lachlan Coin

Yuming Guo

Robin B. Gasser

Anton Peleg

Jichao Zhao

Yanming Liu

Tao Wang

Geoffrey Webb

Make your next move.