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Large Language Models as Master Key: Unlocking the Secrets of Materials Science with GPT

Drug-target interaction prediction based on spatial consistency constraint and graph convolutional autoencoder

Structural atlas of a human gut crassvirus

The virome of the last eukaryotic common ancestor and eukaryogenesis

Genome dynamics across the evolutionary transition to endosymbiosis

Slideflow: Deep Learning for Digital Histopathology with Real-Time Whole-Slide Visualization

VirPipe: an easy and robust pipeline for detecting customized viral genomes obtained by Nanopore sequencing

CRD: a De novo Design algorithm for prediction of Cognate Protein Receptors for small molecule ligands

Cohort-based learning for microbiome research community standards

DeepAR: a novel deep learning-based hybrid framework for the interpretable prediction of androgen receptor antagonists

A blueprint for a synthetic genetic feedback optimizer

Clinical utility of polygenic risk scores: a critical 2023 appraisal

Towards Controllable Diffusion Models via Reward-Guided Exploration

Assessing the Performance of Docking, FEP, and MM/GBSA Methods on a Series of KLK6 Inhibitors

Hierarchical multi-omics data integration and modeling predict cell-specific chemical proteomics and drug responses

SYNDEEP: a deep learning approach for the prediction of cancer drugs synergy

From classic medicinal chemistry to state-of-the-art interdisciplinary medicine: Recent advances in proteolysis-targeting chimeras technology

Biomedical data analyses facilitated by open cheminformatics workflows

Artificial intelligence and radiomicsin evaluation of kidney lesions: acomprehensive literature review

Discovering life’s directed metabolic (sub)paths to interpret biochemical markers using the DSMN

Deep learning-based polygenic risk analysis for Alzheimer’s disease prediction

PhyloMed: a phylogeny-based test of mediation effect in microbiome

ME-Bayes SL: Enhanced Bayesian Polygenic Risk Prediction Leveraging Information across Multiple Ancestry Groups

UltraSEQ, a Universal Bioinformatic Platform for Information-Based Clinical Metagenomics and Beyond

Molecular detection and characterization of foodborne bacteria: Recent progresses and remaining challenges

PUREE: accurate pan-cancer tumor purity estimation from gene expression data

Genomic–transcriptomic evolution in lung cancer and metastasis

Integrative modeling of tumor genomes and epigenomes for enhanced cancer diagnosis by cell-free DNA

Using the Reactome Database

Machine learning algorithms reveal potential miRNAs biomarkers in gastric cancer

Explainable discovery of disease biomarkers: The case of ovarian cancer to illustrate the best practice in machine learning and Shapley analysis

Cervical cancer survival prediction by machine learning algorithms: a systematic review

Predicting the effects of cultivation condition on gene regulation in Escherichia coli by using deep learning

Mixed-Precision Random Projection for RandNLA on Tensor Cores

Scalable Randomized Kernel Methods for Multiview Data Integration and Prediction

The scverse project provides a computational ecosystem for single-cell omics data analysis

Machine learning for synergistic network pharmacology: a comprehensive overview

Targeting hPKM2 in cancer: A bio isosteric approach for ligand design

Regression Transformer enables concurrent sequence regression and generation for molecular language modelling

De Novo Design of Molecules Towards Biased Properties via a Deep Generative Framework and Iterative Transfer Learning

Evaluating the utility of a high throughput thiol-containing fluorescent probe to screen for reactivity: A case study with the Tox21 library

Prediction of Sensor Ability Based on Chemical Formula: Possible Approaches and Pitfalls

Machine Learning for Ionization Potentials and Photoionization Cross Sections of Volatile Organic Compounds

Accelerating the design and development of polymeric materials via deep learning: Current status and future challenges

Automatic extraction of ranked SNP-phenotype associations from text using a BERT-LSTM-based method

SigPrimedNet: A Signaling-Informed Neural Network for scRNA-seq Annotation of Known and Unknown Cell Types

The Afrotropical breeding grounds of the Palearctic-African migratory painted lady butterflies (Vanessa cardui)

Patterns of host plant use do not explain mushroom body expansion in Heliconiini butterflies

Scalable Randomized Kernel Methods for Multiview Data Integration and Prediction

SimbaML: Connecting Mechanistic Models and Machine Learning with Augmented Data