Sharif University of Technology
A background model for Hi-C data
Hi-C is a method for capturing contacts between all pairs of DNA fragments in one experim...
Using spatial information of cells in profiling microscopic ...
Single-cell imaging is a new technology that provides us information such as location, app...
Hi-C interactions enrich for promoter interacting regions
We have assessed this study to identify the elements that the promoters tend to interact w...
Identifying cancer-related genes via network feature learnin...
The primary purpose of this project is to identify cancer-related genes using PPI networks...
CircWalk: Predicting CircRNA-Disease Associations using Grap...
Increasing evidence from novel research demonstrates that circRNAs play a role in the onse...
Prediction of protein-compound interactions (CPI) using stru...
The numerical value of interaction in a protein-compound pair determines the tendency of a...
Heterogeneous Knowledge Graph-Based Drug Repurposing Using G...
Novel drug discovery and development has extremely high costs and slow pace, which makes d...
Compound-Protein Interaction Prediction
Compound-protein interaction (CPI) prediction, which determines the binding affinity of th...
Medical image segmentation with limited annotated data using...
During the past few years, self-supervised contrastive learning has emerged as a paradigm ...
A study in genome editing with clustered regularly interspac...
Clustered Regularly Interspaced Short Palindromic Repeats, or in short, CRISPR is a relati...
Mutational Network Analysis
In this project network of co-mutations in breast cancer has been analyzed. By finding co...
Pan-cancer integrative analysis of whole-genome De novo soma...
The advent of high throughput sequencing has enabled researchers to systematically evaluat...
Whole-Genome Analysis of De Novo Somatic Point Mutations Rev...
Many studies have identified cancer subtypes based on the cancer driver genes, or the pro...
Integrative analysis of mutated genes and mutational process...
Colorectal cancer (CRC) is one of the leading causes of cancer-related deaths in the world...
Real-time automatic detection and classification of colorect...
Lately, the ASGE1 has addressed the resect and discard strategy known as PIVI2, determini...
Deep Learning in a Structured Output Space
A large number of machine learning problems are considered as structured output problems i...
Interpretable Training of Deep Networks
Despite the recent advances of deep neural networks and achieving state-of-the-art perfor-...
Somatic point mutations are enriched in non-coding RNAs with...
Non-coding RNAs (ncRNAs) form a large portion of the mammalian genome. However, their biol...
LAP: An Attention-Based Module for Faithful Interpretation a...
Despite the state-of-the-art performance of deep convolutional neural networks, they are s...
Domain adaptation in digital mammography image processing
Breast cancer can be screened, diagnosed, and managed earlier with digital mammograms. Dat...
Semi-Supervised Mammography-Screening Tumor Detection
Novel Biomarker Identification Through the Integration of Ge...
In recent years, the rapid development of high-throughput technologies has led to many typ...
Fatemeh Hashemi Golpaygani
Mahshid Sadat Khatami
Zohreh Baharvand Irannia
Former Research Assistant
An innovative lab trying to do research in leading areas of Artificial Intelligence.
Azadi Ave, Tehran, Iran
Data science and Machine Learning lab