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BMC Bioinformatics

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PERFORMANCE IMPROVEMENT FOR A 2D CONVOLUTIONAL NEURAL NETWORK BY USING SSC ENCODING ON PROTEIN-PROTEIN INTERACTION TASKS

The interactions of proteins are determined by their sequences and affect the regulation of the cell cycle, signal transduction and...

MSIFINDER: A PYTHON PACKAGE FOR DETECTING MSI STATUS USING RANDOM FOREST CLASSIFIER

Microsatellite instability is a common genomic alteration in colorectal cancer, endometrial carcinoma, and other solid tumors. MSI...

 
 
 

SCCONSENSUS: COMBINING SUPERVISED AND UNSUPERVISED CLUSTERING FOR CELL TYPE IDENTIFICATION IN SINGLE-CELL RNA SEQUENCING DATA

Clustering is a crucial step in the analysis of single-cell data. Clusters identified in an unsupervised manner are typically annotated...

APPLICATION OF NETWORK LINK PREDICTION IN DRUG DISCOVERY

Technological and research advances have produced large volumes of biomedical data. When represented as a network , these data become...

 
 
 

DECIPHERING HIERARCHICAL ORGANIZATION OF TOPOLOGICALLY ASSOCIATED DOMAINS THROUGH CHANGE-POINT TESTING

The nucleus of eukaryotic cells spatially packages chromosomes into a hierarchical and distinct segregation that plays critical roles...

EZMAP: EASY MICROBIOME ANALYSIS PLATFORM

The rapid advances in next-generation sequencing technologies have revolutionized the microbiome research by greatly increasing our...

 
 
 

OPTIMIZED PERMUTATION TESTING FOR INFORMATION THEORETIC MEASURES OF MULTI-GENE INTERACTIONS

Permutation testing is often considered the “gold standard” for multi-test significance analysis, as it is an exact test requiring...

LOW-LEVEL VARIANT CALLING FOR NON-MATCHED SAMPLES USING A POSITION-BASED AND NUCLEOTIDE-SPECIFIC APPROACH

The widespread use of next-generation sequencing has identified an important role for somatic mosaicism in many diseases. However,...

 
 
 

COMMON LOW COMPLEXITY REGIONS FOR SARS-COV-2 AND HUMAN PROTEOMES AS POTENTIAL MULTIDIRECTIONAL RISK FACTOR IN VACCINE DEVELOPMENT

The rapid spread of the COVID-19 demands immediate response from the scientific communities. Appropriate countermeasures mean thoughtful...

ESTABLISHING A CONSENSUS FOR THE HALLMARKS OF CANCER BASED ON GENE ONTOLOGY AND PATHWAY ANNOTATIONS

The hallmarks of cancer provide a highly cited and well-used conceptual framework for describing the processes involved in cancer cell...

 
 
 

TO DENOISE OR TO CLUSTER, THAT IS NOT THE QUESTION: OPTIMIZING PIPELINES FOR COI METABARCODING AND METAPHYLOGEOGRAPHY

The recent blooming of metabarcoding applications to biodiversity studies comes with some relevant methodological debates. One such...

MULTIBLOCK VARIABLE INFLUENCE ON ORTHOGONAL PROJECTIONS FOR ENHANCED INTERPRETATION OF TOTAL, GLOBAL, LOCAL AND UNIQUE VARIATIONS IN ONPLS MODELS

For multivariate data analysis involving only two input matrices , the previously published methods for variable influence on projection...

 
 
 

IPCARF: IMPROVING LNCRNA-DISEASE ASSOCIATION PREDICTION USING INCREMENTAL PRINCIPAL COMPONENT ANALYSIS FEATURE SELECTION AND A RANDOM FOREST CLASSIFIER

Identifying lncRNA-disease associations not only helps to better comprehend the underlying mechanisms of various human diseases at...

HARVESTMAN: A FRAMEWORK FOR HIERARCHICAL FEATURE LEARNING AND SELECTION FROM WHOLE GENOME SEQUENCING DATA

Supervised learning from high-throughput sequencing data presents many challenges. For one, the curse of dimensionality often leads...

 
 
 

SIX GENES INVOLVED IN PROGNOSIS OF HEPATOCELLULAR CARCINOMA IDENTIFIED BY COX HAZARD REGRESSION

Hepatocellular carcinoma , derived from hepatocytes, is the main histological subtype of primary liver cancer and poses a serious threat...

A NOVEL END-TO-END METHOD TO PREDICT RNA SECONDARY STRUCTURE PROFILE BASED ON BIDIRECTIONAL LSTM AND RESIDUAL NEURAL NETWORK

Studies have shown that RNA secondary structure, a planar structure formed by paired bases, plays diverse vital roles in fundamental...

 
 
 

AN INTRODUCTION TO NEW ROBUST LINEAR AND MONOTONIC CORRELATION COEFFICIENTS

The most common measure of association between two continuous variables is the Pearson correlation (Maronna et al. in Safari an OMC....

PREDICTION AND ANALYSIS OF MULTIPLE PROTEIN LYSINE MODIFIED SITES BASED ON CONDITIONAL WASSERSTEIN GENERATIVE ADVERSARIAL NETWORKS

Protein post-translational modification is a key issue to investigate the mechanism of protein's function. With the rapid development...

 
 
 

RELIABLE GENOMIC STRATEGIES FOR SPECIES CLASSIFICATION OF PLANT GENETIC RESOURCES

To address the need for easy and reliable species classification in plant genetic resources collections, we assessed the potential...

FACTOR GRAPH-AGGREGATED HETEROGENEOUS NETWORK EMBEDDING FOR DISEASE-GENE ASSOCIATION PREDICTION

Exploring the relationship between disease and gene is of great significance for understanding the pathogenesis of disease and developing...

 
 
 



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 ...

New approaches to AI, cell biology may have uncovered a novel drug target...

New approaches to AI, cell biology may have uncovered a novel drug target for COVID-19: Humans themselves chale Tue, 04/13/2021 - 17:11 Read more ...

Breakthrough with Quantum Materials Pushes Biologically Inspired Learning...

UC San Diego physicists have created new artificial devices that mimic basic learning functions carried out by neurons in the human brain. They demonstrated how quantum... Read more ...

Scientists program microalgae's 'oil factory' to produce various oils

By combining the 'chassis' of an oil-producing microalgae with genes from a Cuphea plant, scientists from the Single-Cell Center, Qingdao Institute of BioEnergy and Bioprocess... Read more ...

Alicia Garza, Black Futures Lab Principal, Black Lives Matter Co-Founder, to...

Alicia Garza, Black Futures Lab Principal, Black Lives Matter Co-Founder, to Speak at Commencement

Author, political strategist and organizer Alicia Garza will serve as keynote speaker at UC San Diego's Commencement 2021 ceremonies, which will be held June 12-13. A UC San... Read more ...

Programming proteins to turn cells into molecular computers

A new method of breaking and fixing proteins could speed the development of sophisticated computer-like circuits in cells that will pave the way to new biotechnology and... Read more ...

Better understanding of fundamental cell behavior can improve drug development

Pioneering research from Vanderbilt scientists shows that cells respond differently to acute stress than to gradual stress. The findings establish an entirely new way to look... Read more ...

New method of artificially creating genetic switches for yeast

A group of researchers from Kobe University and Chiba University has successfully developed a flexible and simple method of artificially producing genetic switches for yeast, a... Read more ...

Bacteria breaking down mountains: Bioleaching to extract ores with less...

How do you break down kilometers of rock to get the metals within? You go small. Bacteria-level small. Read more ...

From Smoky Skies to a Green Horizon: Scientists Convert Fire-Risk Wood into...

From Smoky Skies to a Green Horizon: Scientists Convert Fire-Risk Wood into Biofuel

Reliance on petroleum fuels and raging wildfires: Two separate, large-scale challenges that could be addressed by one scientific breakthrough. Teams from Lawrence Berkeley... Read more ...

The right to vote is fundamental - a letter from biotechnology industry leaders

We oppose all attempts to introduce laws that reduce the rights of US citizens to vote or that restrict them from exercising that right. The right to vote is fundamental to... Read more ...