Genetics

Latest AI and machine learning research in genetics for healthcare professionals.

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An efficient graph kernel method for non-coding RNA functional prediction.

MOTIVATION: The importance of RNA protein-coding gene regulation is by now well appreciated. Non-cod...

Sep 2017 28475710
A deep boosting based approach for capturing the sequence binding preferences of RNA-binding proteins from high-throughput CLIP-seq data.

Characterizing the binding behaviors of RNA-binding proteins (RBPs) is important for understanding t...

Aug 2017 28575488
Swarm Intelligence-Enhanced Detection of Non-Small-Cell Lung Cancer Using Tumor-Educated Platelets.

Blood-based liquid biopsies, including tumor-educated blood platelets (TEPs), have emerged as promis...

Aug 2017 28810146
CMDR based differential evolution identifies the epistatic interaction in genome-wide association studies.

MOTIVATION: Detecting epistatic interactions in genome-wide association studies (GWAS) is a computat...

Aug 2017 28379338
Identification of human flap endonuclease 1 (FEN1) inhibitors using a machine learning based consensus virtual screening.

Human Flap endonuclease1 (FEN1) is an enzyme that is indispensable for DNA replication and repair pr...

Jul 2017 28685785
Identification of microRNA precursors using reduced and hybrid features.

MicroRNAs (also called miRNAs) are a group of short non-coding RNA molecules. They play a vital role...

Jul 2017 28686281
Denoising genome-wide histone ChIP-seq with convolutional neural networks.

MOTIVATION: Chromatin immune-precipitation sequencing (ChIP-seq) experiments are commonly used to ob...

Jul 2017 28881977
When loss-of-function is loss of function: assessing mutational signatures and impact of loss-of-function genetic variants.

MOTIVATION: Loss-of-function genetic variants are frequently associated with severe clinical phenoty...

Jul 2017 28882004
High-speed all-optical DNA local sequence alignment based on a three-dimensional artificial neural network.

This paper presents an optical processing approach for exploring a large number of genome sequences....

Jul 2017 29036127
HIPred: an integrative approach to predicting haploinsufficient genes.

MOTIVATION: A major cause of autosomal dominant disease is haploinsufficiency, whereby a single copy...

Jun 2017 28137713
nala: text mining natural language mutation mentions.

MOTIVATION: The extraction of sequence variants from the literature remains an important task. Exist...

Jun 2017 28200120
The cancer precision medicine knowledge base for structured clinical-grade mutations and interpretations.

OBJECTIVE: This paper describes the Precision Medicine Knowledge Base (PMKB; https://pmkb.weill.corn...

May 2017 27789569
RED-ML: a novel, effective RNA editing detection method based on machine learning.

With the advancement of second generation sequencing techniques, our ability to detect and quantify ...

May 2017 28328004
Semantic closure demonstrated by the evolution of a universal constructor architecture in an artificial chemistry.

We present a novel stringmol-based artificial chemistry system modelled on the universal constructor...

May 2017 28515326
Feature selection using a one dimensional naïve Bayes' classifier increases the accuracy of support vector machine classification of CDR3 repertoires.

MOTIVATION: Somatic DNA recombination, the hallmark of vertebrate adaptive immunity, has the potenti...

Apr 2017 28073756
FARNA: knowledgebase of inferred functions of non-coding RNA transcripts.

Non-coding RNA (ncRNA) genes play a major role in control of heterogeneous cellular behavior. Yet, t...

Mar 2017 27924038
RBPPred: predicting RNA-binding proteins from sequence using SVM.

MOTIVATION: Detection of RNA-binding proteins (RBPs) is essential since the RNA-binding proteins pla...

Mar 2017 27993780
Application of supervised machine learning algorithms for the classification of regulatory RNA riboswitches.

Riboswitches, the small structured RNA elements, were discovered about a decade ago. It has been the...

Mar 2017 27040116
Optimizing ChIP-seq peak detectors using visual labels and supervised machine learning.

MOTIVATION: Many peak detection algorithms have been proposed for ChIP-seq data analysis, but it is ...

Feb 2017 27797775
CIViC is a community knowledgebase for expert crowdsourcing the clinical interpretation of variants in cancer.

CIViC is an expert-crowdsourced knowledgebase for Clinical Interpretation of Variants in Cancer desc...

Jan 2017 28138153
A Sparse Learning Framework for Joint Effect Analysis of Copy Number Variants.

Copy number variants (CNVs), including large deletions and duplications, represent an unbalanced cha...

Jan 2017 28991724
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