machine learning RSS Feed learning Most recent machine learning related articles Systems Engineer (Network) - Revionics - Austin, TX To help retail businesses and everyday users solve complex pricing challenges leveraging the latest machine learning science with a completely transparent...From Revionics - Wed, 21 Nov 2018 03:40:03 GMT - View all Austin, TX jobs Dissecting the regulation and function of ATP at the single-cell level by Jianhan Zhang, Xu Han, Yihan Lin Regulation of cellular ATP level is critical for diverse biological processes and may be defective in diseases such as cancer and mitochondrial disorders. While mitochondria play critical roles in ATP level regulation, we still lack a systematic and quantitative picture of how individual mitochondrial-related genes contribute to cellular … Continua la lettura di Dissecting the regulation and function of ATP at the single-cell level →Potrebbero interessarti anche questi articoli:Insights on the impact of mitochondrial organisation on…Zinc-dependent substrate-level phosphorylation powers…Root zone–specific localization of AMTs determines…Chromatin remodelers couple inchworm motion with…Quantitative assessment of cell population diversity in…Anisotropic Crb accumulation, modulated by Src42A, is…Long-distance communication: Looping of human papillomavirusDietary restriction improves intestinal cellular fitness to…Multiscale computational model of Achilles tendon wound…Principles of intracellular bacterial pathogen spread from…Loss of the Mia40a oxidoreductase leads to hepato-pancreaticDanger signals activate a putative innate immune system…Human genes: Time to follow the roads less traveled?Multi-scale computational study of the Warburg effect,…Noise propagation in an integrated model of bacterial gene…Rotation of sex combs in <i>Drosophila…Spen limits intestinal stem cell self-renewalA survey of inter-individual variation in DNA methylation…Control of nongenetic heterogeneity in growth rate and…Single-cell RNA-sequencing reveals transcriptional dynamics…Mitochondrial protein import in trypanosomatids: Variations…A Bayesian mixture modelling approach for spatial proteomicsDilution and titration of cell-cycle regulators may control…Reactive oxygen species mediate conical cell shaping in…Inhibition of histone methyltransferase EZH2 in…Toward the “unravelling” of HIV: Host cell factors…PremPDI estimates and interprets the effects of missense…More diversity in epithelial cell polarity: A fruit flies’Insights into antitrypanosomal drug mode-of-action from…Noncoding RNA Ginir functions as an oncogene by associating…The many fates of tissue regenerationHealth systems thinking: A new generation of research to…Synthetic STARR-seq reveals how DNA shape and sequence…Multiscale analysis of autotroph-heterotroph interactions inA natural antisense lncRNA controls breast cancer…The calendar of epidemics: Seasonal cycles of infectious…Modulation of <i>Drosophila</i> post-feeding…Whole genome screen reveals a novel relationship between…SNX8 modulates innate immune response to DNA virus by…"APP"reciating the complexity of HIV-induced…Low-intensity electromagnetic fields induce human…Synthetic viruses—Anything new?Advancing the beneficial use of machine learning in health…Correction: The Sacred Ibis debate: The first test of…H3K36 trimethylation mediated by SETD2 regulates the fate ofR-loops modulate <i>Trypanosome</i> antigenic…MicropeptideCryptochrome: The magnetosensor with a sinister side?Invasion of the P elements: Tolerance is not futileOptimising sampling regimes and data collection to inform… Prediction of antibiotic resistance in Escherichia coli from large-scale pan-genome data by Danesh Moradigaravand, Martin Palm, Anne Farewell, Ville Mustonen, Jonas Warringer, Leopold Parts The emergence of microbial antibiotic resistance is a global health threat. In clinical settings, the key to controlling spread of resistant strains is accurate and rapid detection. As traditional culture-based methods are time consuming, genetic approaches have recently been developed for this … Continua la lettura di Prediction of antibiotic resistance in <i>Escherichia coli</i> from large-scale pan-genome data →Potrebbero interessarti anche questi articoli:Extreme allelic heterogeneity at a <i>Caenorhabditis…CYP-mediated permethrin resistance in <i>Aedes…A <i>k</i>-mer-based method for the…Functional conservation of sequence determinants at rapidly…A fast and agnostic method for bacterial genome-wide…A genome-wide association analysis reveals a potential role…Genome-wide CRISPR-dCas9 screens in <i>E</i>.…Complete genome sequences of two strains of…Bayesian phylodynamic inference with complex modelsQuantification of permethrin resistance and…<i>Escherichia coli</i> mediated resistance of…Inferring interaction partners from protein sequences using…Repeat elements organise 3D genome structure and mediate…Population sequencing reveals clonal diversity and ancestralSystematically benchmarking peptide-MHC binding predictors:…Host restriction of <i>Escherichia coli</i>…Invasion of the P elements: Tolerance is not futileComponents of <i>Brachypodium distachyon</i>…An information theoretic treatment of sequence-to-expressionCoevolving residues inform protein dynamics profiles and…Correction: Epistatic control of intrinsic resistance by…Correction: Assessment of <i>ab initio</i>…Towards national systems for continuous surveillance of…Cross-resistance is modular in bacteria–phage interactionsA systematic review of antimicrobial resistance in…Mobile detection of autism through machine learning on home…Tox_(R)CNN: Deep learning-based nuclei profiling tool for…How many individuals share a mitochondrial genome?RAVEN 2.0: A versatile toolbox for metabolic network…Interhomolog polymorphism shapes meiotic crossover within…Characterising risk of in-hospital mortality following…G-quadruplex forming sequences in the genome of all known…Streptococcal Lancefield polysaccharides are critical cell…Machine learning in medicine: Addressing ethical challengesPredicting the risk of emergency admission with machine…Enhancing the prediction of acute kidney injury risk after…RNA virus evasion of nonsense-mediated decayThe genetic architecture of colonization resistance in…A distinct strain of <i>Arsenophonus</i>…Development and validation of machine learning models to…Transforming health policy through machine learningMachine learning in population health: Opportunities and…R-loops modulate <i>Trypanosome</i> antigenic…Metabolic adaptations underlying genome flexibility in…Genetic architecture and selective sweeps after polygenic…Uncovering vector, parasite, blood meal and microbiome…Advancing the beneficial use of machine learning in health…Prediction of gene regulatory enhancers across species…Fifteen years in, what next for <i>PLOS…Statistical modeling of the effect of rainfall flushing on… Business Analytics Masters Intern (Summer 2019) - DELL - Round Rock, TX Life at Dell. Ability to use machine learning techniques. The business analytics intern will be working on a problem which would require detailed analytics and...From Dell - Fri, 05 Oct 2018 11:17:11 GMT - View all Round Rock, TX jobs Consultant, Data Science (Web Applications) - DELL - Round Rock, TX Collaborate with Dell CCO team and its customers on Dell analytics offerings. Machine Learning / Neural Networks....From Dell - Tue, 30 Oct 2018 11:24:48 GMT - View all Round Rock, TX jobs Machine Learning Deployment Engineer - DELL - Round Rock, TX Regularly interfaces with IT Business Partner and key business stakeholders. Design blueprints for efficient production of machine learning models embedded in...From Dell - Tue, 11 Dec 2018 12:32:42 GMT - View all Round Rock, TX jobs Interactive Machine Learning Researcher - PARC, a Xerox company - Palo Alto, CA PARC, a Xerox company, is in the Business of Breakthroughs®. We create new business options, accelerate time to market, augment internal capabilities, and...From PARC, a Xerox company - Sun, 26 Aug 2018 12:12:32 GMT - View all Palo Alto, CA jobs Machine Learning Researcher - PARC, a Xerox company - Palo Alto, CA PARC, a Xerox company, is in the Business of Breakthroughs®. We create new business options, accelerate time to market, augment internal capabilities, and...From PARC, a Xerox company - Sun, 26 Aug 2018 12:12:32 GMT - View all Palo Alto, CA jobs PyText builds on PyTorch for language recognition Facebook has open-sourced its PyText project, a machine learning library for natural language processing (NLP) intended to make it easier to put together both experimental projects and production systems.PyText, built with Facebook’s existing PyTorch library for machine learning and used internally by the company, was created to address how machine learning using neural networks (such as for NLP). Such libraries typically were “a trade-off between frameworks optimized for experimentation and those optimized for production,” they said in a post.To read this article in full, please click here AI Weekly: This machine learning report is required reading The AI Index 2018 report is out, and if you’re interested in AI enough to read this newsletter, you really should read the report through for yourself. Maybe it’s the nerdy thing you do when lounging with family this holiday season, or something you take in during a long walk or travel, but it’s worth a look […]