Dylan Dalton

Structural Bioinformatics and Network Biology Group - IRB

[Dylan Dalton @00dylan_dalt00]

Universal Cell Embeddings: A Foundation Model for Cell Biology

The Universal Cell Embedding (UCE) foundation model was trained on a corpus of cell atlas data from human and other species.
https://t.co/DCllUvbIE6

[Dylan Dalton @00dylan_dalt00]

Scupa: Single-cell unified polarization assessment of immune cells using the single-cell foundation model

Single-cell unified polarization assessment (Scupa) is the first computational method for comprehensive immune...
https://t.co/iNdiR7k3mv

[Dylan Dalton @00dylan_dalt00]

Foundation model for efficient biological discovery in single-molecule data

META-SiM is a transformer-based foundation model pre-trained on diverse SMFM analysis tasks.
https://t.co/1pkTTvCOng

[Dylan Dalton @00dylan_dalt00]

A long context RNA foundation model for predicting transcriptome architecture

LoRNASH is an RNA foundation model that learns how the nucleotide sequence of unspliced pre-mRNA dictates transcriptome architecture.
https://t.co/b8GJp9rAtr

[Dylan Dalton @00dylan_dalt00]

The Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics

Closing the gap between measurable genetic information and observable traits is a longstanding challenge in genomics.
https://t.co/XnHj30FQQj

[Dylan Dalton @00dylan_dalt00]

ChatNT: A Multimodal Conversational Agent for DNA, RNA and Protein Tasks

ChatNT is the first multimodal conversational agent with an advanced understanding of biological sequences.
https://t.co/KIFdLWDqNu

[Dylan Dalton @00dylan_dalt00]

Evaluating the Utilities of Foundation Models in Single-cell Data Analysis

Foundation Models (FMs) have made significant strides in both industrial and scientific domains.
https://t.co/dd8GviCORr

[Dylan Dalton @00dylan_dalt00]

Are Genomic Language Models All You Need? Exploring Genomic Language Models on Protein Downstream Tasks

Genomic language models (gLMs) hold the potential to make downstream predictions not only about DNA sequences, b...
https://t.co/TtE4ahpINz

[Dylan Dalton @00dylan_dalt00]

mosGraphGPT: a foundation model for multi-omic signaling graphs using generative AI

Generative pretrained models represent a significant advancement in natural language processing and computer vision.
https://t.co/JaMSB7l5B9

[Dylan Dalton @00dylan_dalt00]

Benchmarking DNA Foundation Models for Genomic Sequence Classification

DNABERT-2 exhibits the most consistent performance across human genome-related tasks. NT-v2 excels in epigenetic modification detection.
https://t.co/HdmI91DgDP

[Dylan Dalton @00dylan_dalt00]

Video Foundation Models for Animal Behavior Analysis

Existing methods often rely on task-specific features or models, which struggle to generalize across diverse datasets and tasks.
https://t.co/6xXsC1Eoq1

[Dylan Dalton @00dylan_dalt00]

A Biologically Inspired Attention Model for Neural Signal Analysis

SPARKS is a model capable of generating low dimensional latent representations of high dimensional neural recordings.
https://t.co/a5Sq0q7ED0

[Dylan Dalton @00dylan_dalt00]

Foundation model of neural activity predicts response to new stimulus types and anatomy

The complexity of neural circuits makes it challenging to decipher the brains algorithms of intelligence.
https://t.co/0j5I1JkusC

[IRB Barcelona @IRBBarcelona]

🧬PocketVec: A new computational tool that identifies more than 32,000 points of pharmacological interest in the human proteome.

✍️@acomajuncosa @jorba_guillem @XavierBarril & @ptck72

📰@NatureComms

➡️https://t.co/fa2PNmXJjM

📌DOI: 10.1038/s41467-024-52146-3

#IRBScience

[Dylan Dalton @00dylan_dalt00]

scPRINT: pre-training on 50 million cells allows robust gene network predictions

ScPRINT is a large cell model for the inference of gene networks pre-trained on more than 50M cells from the cellxgene database.
https://t.co/qlQjjZGDXV

[Dylan Dalton @00dylan_dalt00]

Genomics-FM: Universal Foundation Model for Versatile andData-Efficient Functional Genomic Analysis

Genomics-FM is a genomic vocabulary driven foundation model. It enables versatile and label-efficient functional gen...
https://t.co/JB2jRPx8m5

[Dylan Dalton @00dylan_dalt00]

Protein Set Transformer: A protein-based genome language model to power high diversity viromics

Protein Set Transformer (PST) is a protein-based genome language model.
https://t.co/xRBD3CmBFS

[Dylan Dalton @00dylan_dalt00]

GFETM: Genome Foundation-based Embedded Topic Model for scATAC-seq Modeling

Single-cell Assay for Transposase-Accessible Chromatin with sequencing (scATAC-seq) has emerged as a powerful technique for investigating op...
https://t.co/dbwtcK3QQW

[Dylan Dalton @00dylan_dalt00]

A generative foundation model for antibody sequence understanding

FAbCon is a generative antibody-specific language model comprising 2.4 billion parameters.
https://t.co/hcrzGawpra

[Dylan Dalton @00dylan_dalt00]

Diverse Genomic Embedding Benchmark for functional evaluation across the tree of life

Biological foundation models hold significant promise for deciphering complex biological functions.
https://t.co/L85LJnJJwy