Interdisciplinary Sciences-Computational Life Sciences

Papers
(The H4-Index of Interdisciplinary Sciences-Computational Life Sciences is 20. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
NTMFF-DTA: Prediction of Drug-Target Affinity Based on Network Topology and Multi-feature Fusion156
A Deep Neural Network for Predicting Synergistic Drug Combinations on Cancer121
DOTAD: A Database of Therapeutic Antibody Developability53
DASNet: A Convolutional Neural Network with SE Attention Mechanism for ccRCC Tumor Grading52
FEAMR: A Database for Surveillance of Food and Environment-Associated Antimicrobial Resistance45
Viral Rebound After Antiviral Treatment: A Mathematical Modeling Study of the Role of Antiviral Mechanism of Action44
Luteinizing Hormone Receptor Mutation (LHRN316S) Causes Abnormal Follicular Development Revealed by Follicle Single-Cell Analysis and CRISPR/Cas943
Function-Genes and Disease-Genes Prediction Based on Network Embedding and One-Class Classification41
Identification of Multi-functional Therapeutic Peptides Based on Prototypical Supervised Contrastive Learning37
Correction to: Machine Learning Accelerates De Novo Design of Antimicrobial Peptides35
Bilinear Perceptual Fusion Algorithm Based on Brain Functional and Structural Data for ASD Diagnosis and Regions of Interest Identification31
DP-ID: Interleaving and Denoising to Improve the Quality of DNA Storage Image30
Unraveling Brain Synchronisation Dynamics by Explainable Neural Networks using EEG Signals: Application to Dyslexia Diagnosis30
EnDM-CPP: A Multi-view Explainable Framework Based on Deep Learning and Machine Learning for Identifying Cell-Penetrating Peptides with Transformers and Analyzing Sequence Information26
HTRPCA: Hypergraph Regularized Tensor Robust Principal Component Analysis for Sample Clustering in Tumor Omics Data24
BoT-Net: a lightweight bag of tricks-based neural network for efficient LncRNA–miRNA interaction prediction23
iDHS-FFLG: Identifying DNase I Hypersensitive Sites by Feature Fusion and Local–Global Feature Extraction Network22
ASI-DBNet: An Adaptive Sparse Interactive ResNet-Vision Transformer Dual-Branch Network for the Grading of Brain Cancer Histopathological Images21
DeepPI: Alignment-Free Analysis of Flexible Length Proteins Based on Deep Learning and Image Generator20
scFED: Clustering Identifying Cell Types of scRNA-Seq Data Based on Feature Engineering Denoising20
Integration of IDPC Clustering Analysis and Interpretable Machine Learning for Survival Risk Prediction of Patients with ESCC20
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