Ashish Ranjan 0003 - researchr alias

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Viewing Publication 1 - 5 from 5

2023

A Sub-Sequence Based Approach to Protein Function Prediction via Multi-Attention Based Multi-Aspect NetworkAshish Ranjan 0003, Archana Tiwari, Akshay Deepak. tcbb, 20(1):94-105, January - February 2023. [doi]

MCWS-Transformers: Towards an Efficient Modeling of Protein Sequences via Multi Context-Window Based Scaled Self-AttentionAshish Ranjan 0003, Md. S. Fahad, David Fernández-Baca, Sudhakar Tripathi, Akshay Deepak. tcbb, 20(2):1188-1199, March - April 2023. [doi]

Lite-SeqCNN: A Light-Weight Deep CNN Architecture for Protein Function PredictionVikash Kumar, Akshay Deepak, Ashish Ranjan 0003, Aravind Prakash. tcbb, 20(3):2242-2253, 2023. [doi]

A Sequence-Motif Based Approach to Protein Function Prediction via Deep-CNN ArchitectureVikash Kumar, Ashish Ranjan 0003, Deng Cao, Gopalakrishnan Krishnasamy, Akshay Deepak. icaart 2023: 243-251 [doi]

2022

An Ensemble Tf-Idf Based Approach to Protein Function Prediction via Sequence SegmentationAshish Ranjan 0003, David Fernández-Baca, Sudhakar Tripathi, Akshay Deepak. tcbb, 19(5):2685-2696, 2022. [doi]

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