Wajid Arshad Abbasi

According to our database, Wajid Arshad Abbasi authored at least 17 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

An In-Silico Identification of Anti-CRISPR Proteins by Using Descriptors Derived from the Primary Structures.

Sidra Liaqat, Saiqa Andleeb, Maryum Bibi, Wajid Arshad Abbasi

Proceedings of the International Conference on Frontiers of Information Technology, 2023

2022

COVIDX: Computer-aided diagnosis of COVID-19 and its severity prediction with raw digital chest X-ray scans.

Wajid Arshad Abbasi, Syed Ali Abbas, Saiqa Andleeb, Maryum Bibi, Fiaz Majeed, Abdul Jaleel, Muhammad Naveed Akhtar

Quant. Biol., 2022

A novel unsupervised ensemble framework using concept-based linguistic methods and machine learning for twitter sentiment analysis.

Maryum Bibi, Wajid Arshad Abbasi, Wajid Aziz, Sundus Khalil, Mueen Uddin, Celestine Iwendi, Thippa Reddy Gadekallu

Pattern Recognit. Lett., 2022

COYOTE: Sequence-derived structural descriptors-based computational identification of glycoproteins.

Wajid Arshad Abbasi, Asma Anjam, Sadia Khalil, Saiqa Andleeb, Maryum Bibi, Syed Ali Abbas

J. Bioinform. Comput. Biol., 2022

SIP: A computational prediction of S-Adenosyl methionine (SAM) interacting proteins and their interaction sites through primary structures.

Wajid Arshad Abbasi, Syeda Adin Ajaz, Kinza Arshad, Sidra Liaqat, Saiqa Andleeb, Maryum Bibi, Syed Ali Abbas

Comput. Biol. Chem., 2022

2021

PANDA: Predicting the change in proteins binding affinity upon mutations by finding a signal in primary structures.

Wajid Arshad Abbasi, Syed Ali Abbas, Saiqa Andleeb

J. Bioinform. Comput. Biol., 2021

2020

COVIDX: Computer-aided diagnosis of Covid-19 and its severity prediction with raw digital chest X-ray images.

Wajid Arshad Abbasi, Syed Ali Abbas, Saiqa Andleeb

CoRR, 2020

PANDA: Predicting the change in proteins binding affinity upon mutations using sequence information.

Wajid Arshad Abbasi, Syed Ali Abbas, Saiqa Andleeb

CoRR, 2020

ISLAND: in-silico proteins binding affinity prediction using sequence information.

Wajid Arshad Abbasi, Adiba Yaseen, Fahad Ul Hassan, Saiqa Andleeb, Fayyaz ul Amir Afsar Minhas

BioData Min., 2020

K-Means and K-Medoids: Cluster Analysis on Birth Data Collected in City Muzaffarabad, Kashmir.

Syed Ali Abbas, Adil Aslam, Aqeel-ur Rehman, Wajid Arshad Abbasi, Saeed Arif Shah, Syed Zaki Hassan Kazmi

IEEE Access, 2020

2018

Training host-pathogen protein-protein interaction predictors.

Abdul Hannan Basit, Wajid Arshad Abbasi, Amina Asif, Sadaf Gull, Fayyaz ul Amir Afsar Minhas

J. Bioinform. Comput. Biol., 2018

Learning protein binding affinity using privileged information.

Wajid Arshad Abbasi, Amina Asif, Asa Ben-Hur, Fayyaz ul Amir Afsar Minhas

BMC Bioinform., 2018

2017

ISLAND: In-Silico Prediction of Proteins Binding Affinity Using Sequence Descriptors.

Wajid Arshad Abbasi, Fahad Ul Hassan, Adiba Yaseen, Fayyaz ul Amir Afsar Minhas

CoRR, 2017

Training large margin host-pathogen protein-protein interaction predictors.

Abdul Hannan Basit, Wajid Arshad Abbasi, Amina Asif, Fayyaz ul Amir Afsar Minhas

CoRR, 2017

pyLEMMINGS: Large Margin Multiple Instance Classification and Ranking for Bioinformatics Applications.

Amina Asif, Wajid Arshad Abbasi, Farzeen Munir, Asa Ben-Hur, Fayyaz ul Amir Afsar Minhas

CoRR, 2017

Machine Learning with Abstention for Automated Liver Disease Diagnosis.

Kanza Hamid, Amina Asif, Wajid Arshad Abbasi, Durre Sabih, Fayyaz ul Amir Afsar Minhas

Proceedings of the 2017 International Conference on Frontiers of Information Technology, 2017

2016

Issues in performance evaluation for host-pathogen protein interaction prediction.

Wajid Arshad Abbasi, Fayyaz ul Amir Afsar Minhas

J. Bioinform. Comput. Biol., 2016