A5082740748- Topic Modeling
- Surface Modification and Superhydrophobicity
- Natural Language Processing Techniques
- Amyotrophic Lateral Sclerosis Research
- Gene Regulatory Network Analysis
- Neurogenetic and Muscular Disorders Research
- Genomics and Chromatin Dynamics
- Multimodal Machine Learning Applications
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Explainable Artificial Intelligence (XAI)
- Fluid Dynamics Simulations and Interactions
- Advanced Materials and Mechanics
- Fluid dynamics and aerodynamics studies
- Ethics and Social Impacts of AI
- Textile materials and evaluations
- RNA Research and Splicing
- Catalysis and Oxidation Reactions
- Cholesterol and Lipid Metabolism
- Light effects on plants
- Catalytic Processes in Materials Science
- Microbial Metabolic Engineering and Bioproduction
- Cancer-related molecular mechanisms research
- Advanced Database Systems and Queries
- Advanced Steganography and Watermarking Techniques
Wellcome Trust
2023
European Bioinformatics Institute
2023
University of Stuttgart
2023
Rapt Therapeutics (United States)
2023
University of Colorado Boulder
2021-2022
University of Colorado System
2021-2022
Amazon (United States)
2022
North Bengal University
2022
Genomics (United Kingdom)
2019
Delhi Technological University
2018
Despite impressive performance in many benchmark datasets, AI models can still make mistakes, especially among out-of-distribution examples. It remains an open question how such imperfect be used effectively collaboration with humans. Prior work has focused on assistance that helps people individual high-stakes decisions, which is not scalable for a large amount of relatively low-stakes e.g., moderating social media comments. Instead, we propose conditional delegation as alternative paradigm...
A tradeoff between precision and throughput constrains all biological measurements, including sequencing-based technologies. Here, we develop a mathematical framework that defines this mRNA-sequencing depth error in the extraction of information. We find transcriptional programs can be reproducibly identified at 1% conventional read depths. demonstrate resilience to noise "shallow" sequencing derives from natural property, low dimensionality, which is fundamental feature gene expression...
Amyotrophic lateral sclerosis (ALS) is a lethal disease characterized by motor neuron degeneration and associated with aggregation of nuclear RNA-binding proteins (RBPs), including FUS. How FUS neurodegeneration are prevented in healthy neurons remain critically unanswered questions. Here, we use combination ALS patient autopsy tissue induced pluripotent stem cell-derived to study the effects mutations on RBP homeostasis. We show that FUS' tendency aggregate normally buffered interacting...
In amyotrophic lateral sclerosis (ALS) motor neurons (MNs) undergo dying-back, where the distal axon degenerates before soma. The hexanucleotide repeat expansion (HRE) in C9ORF72 is most common genetic cause of ALS, but mechanism pathogenesis largely unknown with both gain- and loss-of-function mechanisms being proposed. To better understand C9ORF72-ALS pathogenesis, we generated isogenic induced pluripotent stem cells. MNs HRE showed decreased axonal trafficking compared gene corrected MNs....
Abstract Europe PMC (https://europepmc.org/) is an open access database of life science journal articles and preprints, which contains over 42 million abstracts 9 full text accessible via the website, APIs bulk download. This publication outlines new developments to platform since last update in 2020 (1) focuses on five main areas. (i) Improving discoverability, reproducibility trust preprints by indexing preprint content, enriching metadata identifying withdrawn removed preprints. (ii)...
Amyotrophic lateral sclerosis (ALS) arises from an interplay of genetic mutations and environmental factors. ssRNA viruses are possible ALS risk factors, but testing their interaction with such as in FUS, which encodes RNA-binding protein, has been difficult due to the lack a human disease model. Here, we use isogenic induced pluripotent stem cell (iPSC)-derived spinal neurons (SNs) investigate between mutant FUS. We find that rabies virus (RABV) spreads phenotypes, including formation...
In eukaryotes, protein kinase A (PKA) is a master regulator of cell proliferation and survival. The activity PKA subject to elaborate control exhibits complex time dynamics. To probe the quantitative attributes dynamics in yeast Saccharomyces cerevisiae, we developed an optogenetic strategy that uses photoactivatable adenylate cyclase achieve real-time regulation cAMP pathway. We capitalize on precise rapid afforded by this tool, together with computational modeling, study properties...
In the context of adjoining paper by Finn [Phys. Fluids 18, 047102 (2006)] that questions validity Young diagram, we consider equilibrium configurations an infinite solid circular cylinder floating horizontally in unlimited bath, presence a vertically downward gravity field. We characterize equilibria both from force balance point view and also as stationary points for energy functional. former sense, question arises to sense which “solid/liquid” surface tensions introduced should be...
Abstract Despite the recent precipitous decline in cost of genome sequencing, library preparation for RNA-seq is still laborious and expensive applications such as high throughput screening. Limited availability RNA generated by some experimental workflows poses an additional challenge increases preparation. In a search low cost, automation-compatible kits that maintain strand specificity are amenable to input quantities, we systematically tested two commercial technologies—Swift Swift Rapid...
We continue earlier studies on the indicated configuration, improving previous estimates, providing explicit expressions for relevant forces and a formal algorithmic procedure their calculation, sharpening extending predictions qualitative distinctions among varying types of behavior that can occur. include graphical representations some more significant relations, as an aid to interpretation eventual design experiments test physical relevance new material.
Visual cryptography(VC) is a cryptographic methodology which permits visual information, for instance, text, pictures, etcetera to be encrypted such that the decryption can performed by human framework, without assistance of PCs. The aim this survey paper provide readers layout first cryptography method, along with various methods developed and proposed from time time. This also gives applications are based upon concept Cryptography.
Offers on e-commerce websites have been mostly a decision made by companies for advertising or clearing stocks. KAAL algorithm was used sample transaction data to generate frequent itemsets. These itemsets will give an idea of offers be purchase base items. With advent internet, the amount being generated business processes is growing exponentially. This paper makes use Hadoop MapReduce framework association rules stream. are suggested spontaneously as at runtime. The concludes that...
Neural models have drastically advanced state of the art for machine translation (MT) between high-resource languages. Traditionally, these rely on large amounts training data, but many language pairs lack resources. However, an important part languages in world do not this amount data. Most from Americas are among them, having a limited parallel and monolingual if any. Here, we present introduction to interested reader basic challenges, concepts, techniques that involve creation MT systems...
A longstanding goal of regulatory genetics is to understand how variants in genome sequences lead changes gene expression. Here we present a method named Bayesian Annotation Guided eQTL Analysis (BAGEA), variational Bayes framework model cis-eQTLs using directed and undirected genomic annotations. We used BAGEA integrate annotations with summary statistics from tissues various origins. This analysis revealed epigenetic marks that are relevant for expression different cell types. estimated...
Neural machine translation (MT) systems have been shown to perform poorly on low-resource language pairs, for which large-scale parallel data is unavailable. Making the annotation process faster and cheaper therefore important ensure equitable access MT systems. To make optimal use of a limited budget, we present CHIA (choosing instances annotate), method selecting annotate translation. Using an existing multi-way dataset high-resource languages, first identify instances, based model...
Despite impressive performance in many benchmark datasets, AI models can still make mistakes, especially among out-of-distribution examples. It remains an open question how such imperfect be used effectively collaboration with humans. Prior work has focused on assistance that helps people individual high-stakes decisions, which is not scalable for a large amount of relatively low-stakes e.g., moderating social media comments. Instead, we propose conditional delegation as alternative paradigm...
Rajat Bhatnagar, Ananya Ganesh, Katharina Kann. Proceedings of the 59th Annual Meeting Association for Computational Linguistics and 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). 2021.