DRUG PERTURBATION GENE SET ENRICHMENT ANALYSIS : A NEW TRANSCRIPTOMIC DRUG SCREENING APPROACH
In this study, we demonstrate that our modified Gene Set Enrichment Analysis method, drug perturbation GSEA , can detect phenotypically...
IMPACT OF EXPLICIT AREA SCALING ON KINETIC MODELS INVOLVING MULTIPLE COMPARTMENTS
Computational modelling of cell biological processes is a frequently used technique to analyse the underlying mechanisms and to generally...
H2V: A DATABASE OF HUMAN GENES AND PROTEINS THAT RESPOND TO SARS-COV-2, SARS-COV, AND MERS-COV INFECTION
The ongoing global COVID-19 pandemic is caused by SARS-CoV-2, a novel coronavirus first discovered at the end of 2019. It has led to...
IDENTIFYING THE SEQUENCE SPECIFICITIES OF CIRCRNA-BINDING PROTEINS BASED ON A CAPSULE NETWORK ARCHITECTURE
Circular RNAs are widely expressed in cells and tissues and are involved in biological processes and human diseases. Recent studies...
PYCONVU-NET: A LIGHTWEIGHT AND MULTISCALE NETWORK FOR BIOMEDICAL IMAGE SEGMENTATION
With the development of deep learning , more and more methods based on deep learning are proposed and achieve state-of-the-art performance...
PREDICTING CHEMOSENSITIVITY USING DRUG PERTURBED GENE DYNAMICS
One of the current directions of precision medicine is the use of computational methods to aid in the diagnosis, prognosis, and treatment...
G-TRIC: GENERATING THREE-WAY SYNTHETIC DATASETS WITH TRICLUSTERING SOLUTIONS
Three-way data started to gain popularity due to their increasing capacity to describe inherently multivariate and temporal events,...
MODELING DRUG MECHANISM OF ACTION WITH LARGE SCALE GENE-EXPRESSION PROFILES USING GPAR, AN ARTIFICIAL INTELLIGENCE PLATFORM
Querying drug-induced gene expression profiles with machine learning method is an effective way for revealing drug mechanism of actions...
SCC: AN ACCURATE IMPUTATION METHOD FOR SCRNA-SEQ DROPOUTS BASED ON A MIXTURE MODEL
Single-cell RNA sequencing enables the possibility of many in-depth transcriptomic analyses at a single-cell resolution. It's already...
MATHLA: A ROBUST FRAMEWORK FOR HLA-PEPTIDE BINDING PREDICTION INTEGRATING BIDIRECTIONAL LSTM AND MULTIPLE HEAD ATTENTION MECHANISM
Accurate prediction of binding between class I human leukocyte antigen and neoepitope is critical for target identification within...
DISTEVAL: A WEB SERVER FOR EVALUATING PREDICTED PROTEIN DISTANCES
Protein inter-residue contact and distance prediction are two key intermediate steps essential to accurate protein structure prediction....
PCIRC: RANDOM FOREST-BASED PLANT CIRCRNA IDENTIFICATION SOFTWARE
Circular RNA is a novel type of RNA with a closed-loop structure. Increasing numbers of circRNAs are being identified in plants and...
DRUG-INDUCED CELL VIABILITY PREDICTION FROM LINCS-L1000 THROUGH WRFEN-XGBOOST ALGORITHM
Predicting the drug response of the cancer diseases through the cellular perturbation signatures under the action of specific compounds...
PROPEDIA: A DATABASE FOR PROTEIN-PEPTIDE IDENTIFICATION BASED ON A HYBRID CLUSTERING ALGORITHM
Protein-peptide interactions play a fundamental role in a wide variety of biological processes, such as cell signaling, regulatory...
C-NORM: A NEURAL APPROACH TO FEW-SHOT ENTITY NORMALIZATION
Entity normalization is an important information extraction task which has gained renewed attention in the last decade, particularly...
DEPENDENCY PARSING OF BIOMEDICAL TEXT WITH BERT
Syntactic analysis, or parsing, is a key task in natural language processing and a required component for many text mining approaches....
AN AUTOMATED PROTOCOL FOR MODELLING PEPTIDE SUBSTRATES TO PROTEASES
Proteases are key drivers in many biological processes, in part due to their specificity towards their substrates. However, depending...
CONVEX HULLS IN HAMMING SPACE ENABLE EFFICIENT SEARCH FOR SIMILARITY AND CLUSTERING OF GENOMIC SEQUENCES
In molecular epidemiology, comparison of intra-host viral variants among infected persons is frequently used for tracing transmissions...
MULTI-VIEW FEATURE SELECTION FOR IDENTIFYING GENE MARKERS: A DIVERSIFIED BIOLOGICAL DATA DRIVEN APPROACH
In recent years, to investigate challenging bioinformatics problems, the utilization of multiple genomic and proteomic sources has...
SEMI-SUPERVISED LEARNING FOR SOMATIC VARIANT CALLING AND PEPTIDE IDENTIFICATION IN PERSONALIZED CANCER IMMUNOTHERAPY
Personalized cancer vaccines are emerging as one of the most promising approaches to immunotherapy of advanced cancers. However, only...
World Biotechnology Congress 2019
Hilaris Conferences is going to host its premier World Biotechnology Congress 2019 during October 01-02, 2019, Valencia, Spain. Biotechnology 2019 Congress aim to create a... Read more ...
World Biotechnology Congress 2019
Hilaris Conferences is going to host its premier World Biotechnology Congress 2019 during October 01-02, 2019, Valencia, Spain. Biotechnology 2019 Congress aim to create a... Read more ...
2nd International Conference on Tissue Science and Regenerative Medicine
This conference is designed for experts in academia and industries working in the tissue science and regenerative field, this conference will examine cutting-edge research in... Read more ...
Mail Online: Vaccine roll out issues
GreenLight Biosciences explain to the Mail Online about the vaccine roll out issues for a Covid-19 vaccine. GreenLight Biosciences spoke to Mail Online about the vaccine supply... Read more ...
Primer on Carbon Dioxide Removal Provides Vital Resource at Critical Time
Berkeley Lab researchers are working on ways to sequester more carbon in soil, including through agricultural practices. Scientists say that any serious plan to address... Read more ...
A 1-Atom-Deep Look at a Water-Splitting Catalyst
This illustration shows two possible types of surface layers for a catalyst that performs the water-splitting reaction, the first step in making hydrogen fuel: The gray surface... Read more ...
New Research Technique Sheds Light on Least Understood Part of Lithium Batteries
A scientist works on the MALDI (matrix-assisted laser desorption/ionization) mass spectrometer at Berkeley Lab's Molecular Foundry. One of the aspects of lithium-ion batteries... Read more ...
Ozone Generators May Help Remediate Contamination Caused by Thirdhand Smoke
Residue from cigarettes can linger on indoor surfaces for years and even decades. In 10 years of studying thirdhand smoke, which is the toxic cigarette residue that clings to... Read more ...
Financial Times: Get vaccine new variant ready
GreenLight Biosciences explain to the Financial Times how messenger RNA can help get the Covid-19 vaccine new variant ready. GreenLight Biosciences spoke to the Financial Times... Read more ...
Shine On: Avalanching Nanoparticles Break Barriers to Imaging Cells in Real Time
From left: Experimental images of thulium-doped avalanching nanoparticles separated by 300 nanometers; at right, simulations of the same material. (Credit: Berkeley Lab and... Read more ...
NextCure hires Celgene vet as CMO; José Vega leaves Merck to become...
NextCure has found its new CMO after the previous executive resigned last August. Han Myint, a biopharma and academia veteran of more than 20 years, joined the company Thursday... Read more ...
Prometheus Biosciences: Director, Clinical Operations
Prometheus Biosciences: Director, Clinical Operations Company Description Pre-IPO, clinical stage biotech with lead asset in Ph 1 and potential for first-in-class mechani San... Read more ...
In LA, ambulances circle for hours and ICUs are full. Is this what Covid-19...
Do the overwhelmed hospitals in Los Angeles offer a glimpse of what other regions may soon face as case counts rise steeply and a seemingly more infectious strain takes hold?... Read more ...