Showing posts with label toread. Show all posts
Showing posts with label toread. Show all posts

Friday, June 17, 2022

aging methylation data, single cell, Transcription factor

Inference of age-associated transcription factor regulatory activity changes in single cells

https://www.nature.com/articles/s43587-022-00233-9#data-availability

 

re we present and validate a TF activity estimation method for single cells from the hematopoietic system that is based on TF regulons, and apply it to a mouse single-cell RNA-sequencing atlas, to infer age-associated differentiation activity changes in the immune cells of different organs


https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE56046


Series GSE56046Query DataSets for GSE56046
StatusPublic on Nov 24, 2014
TitleTranscriptomics and methylomics of human monocytes [methylome]
OrganismHomo sapiens
Experiment typeMethylation profiling by genome tiling array
SummaryThe MESA Epigenomics and Transcriptomics Study has been launched to investigate potential gene expression regulatory methylation sites in humans by examining the association between CpG methylation and gene expression in purified human monocytes from a large study population (community-dwelling participants in the Multi-Ethnic Study of Atherosclerosis (MESA)).
The MESA Epigenomics and Transcriptomics Study was funded by a National Heart, Lung and Blood Institute grant (R01HL101250) through the NIH Roadmap Epigenomics Program in 2009.

Monday, June 7, 2021

biological network across scales

 

https://reintegratingbiology.org/wp-content/uploads/2019/12/Netwoks-Across-Scales-Gustavo-Caetano-Anolles.pdf


Saturday, April 10, 2021

High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications

 

High-Dimensional Data Analysis with Low-Dimensional Models:
Principles, Computation, and Applications

John Wright   and   Yi Ma,    Cambridge University Press

https://book-wright-ma.github.io/



Thursday, March 18, 2021

to read, yeast paper

 

cell fate

Transcription levels of a noncoding RNA orchestrate opposing regulatory and cell fate outcomes in yeast

https://pubmed.ncbi.nlm.nih.gov/33472063/



Monday, March 8, 2021

Thursday, March 4, 2021

Why Deep Learning Works: A Manifold Disentanglement Perspective

 

Why Deep Learning Works: A Manifold Disentanglement Perspective

https://ieeexplore.ieee.org/document/7348689


deep learning and fluid dynamics

 

Machine learning accelerated computational fluid dynamics

https://arxiv.org/pdf/2102.01010.pdf

https://twitter.com/dkochkov1/status/1356440834921627650

Fig 1. old velocity goes into CNN block, --> filter constraints, --> advected, advecting velocity components --> tensor product --> divergence --> explicit time step --> pressure projection --> new velocity

flow are considered turbulent if Re >> 1

convection: heated air rise up

advected: horizontally transfer, https://en.wikipedia.org/wiki/Advection 

learned solvers






Wednesday, January 13, 2021

Machine Learning for Fluid Mechanics

 

Machine Learning for Fluid Mechanics

https://arxiv.org/abs/1905.11075

Wednesday, September 30, 2020

Genome-wide analysis of SARS-CoV-2 virus strains circulating worldwide implicates heterogeneity

https://www.nature.com/articles/s41598-020-70812-6#Sec2 Article Open Access Published: 19 August 2020 Genome-wide analysis of SARS-CoV-2 virus strains circulating worldwide implicates heterogeneity

Wednesday, May 15, 2019

hsp70 isoforms in yeast, different functions

 2019 Apr 24. doi: 10.1007/s00294-019-00978-8. [Epub ahead of print]

Not quite the SSAme: unique roles for the yeast cytosolic Hsp70s.

Abstract

The Heat Shock Protein 70s (Hsp70s) are an essential family of proteins involved in folding of new proteins and triaging of damaged proteins for proteasomal-mediated degradation. They are highly conserved in all organisms, with each organism possessing multiple highly similar Hsp70 variants (isoforms). These isoforms have been previously thought to be identical in function differing only in their spatio-temporal expression pattern. The model organism Saccharomyces cerevisiae (baker's yeast) expresses four Hsp70 isoforms Ssa1, 2, 3 and 4. Here, we review recent findings that suggest that despite their similarity, Ssa isoforms may have unique cellular functions.

KEYWORDS:

Chaperone; Evolution; Hsp70; Isoform; Ssa
PMID:
 
31020385
 
DOI:
 
10.1007/s00294-019-00978-8

Friday, January 11, 2019

medical image analysis


U-net popular for medical image segmentation, but it does not classifiy image. CU-net is proposed in 2018 for do both classification and segmentation.

Monday, July 23, 2018

Monday, March 26, 2018

journal of computational biology



Journal Cover
 
Special Issue: The 13th International Symposium on Bioinformatics Research and Applications (ISBRA2017)
This Special Issue includes a selection of papers presented at the 13th International Symposium on Bioinformatics Research and Applications (ISBRA 2017) which was held in Honolulu, Hawaii on May 30–June 2, 2017. ISBRA provides a forum for the exchange of ideas and results among researchers, developers, and practitioners working on all aspects of bioinformatics and computational biology and their applications.
Enjoy FREE ACCESS through April 9, 2018.
Read Now:
Reconstructing One-Articulated Networks with Distance Matrices
Kuang-Yu Chang, Yun Ciu, Siu-Ming Yiu, Wing-Kai Hon  Read Now
ICON-MIC: Implementing a CPU/MIC Collaboration Parallel Framework for ICON on Tianhe-2 Supercomputer
Zihao Wang, Yu Chen, Jingrong Zhang, Lun Li, Xiaohua Wan, Zhiyong Liu, Fei Sun, Fa Zhang  Read Now
Estimation of Rates of Reactions Triggered by Electron Transfer in Top-Down Mass Spectrometry
Michał Aleksander Ciach, Mateusz Krzysztof Łącki, Błażej Miasojedow, Frederik Lermyte, Dirk Valkenborg, Frank Sobott, Anna Gambin  Read Now
Convolutional Neural Network for Histopathological Analysis of Osteosarcoma
Rashika Mishra, Ovidiu Daescu, Patrick Leavey, Dinesh Rakheja, Anita Sengupta  Read Now
An Optimized Method for Bayesian Connectivity Change Point Model
Xiuchun Xiao, Bing Liu, Jing Zhang, Xueli Xiao, Yi Pan  Read Now
Unbiased Taxonomic Annotation of Metagenomic Samples
Bruno Fosso, Graziano Pesole, Francesc Rosselló, Gabriel Valiente  Read Now

Friday, February 16, 2018

Monday, February 5, 2018

UAB, aging biology update


Aging Biology Update is brought to you by the UAB Nathan Shock Center and was compiled by Jessica M. Hoffman, Steven N. Austad, and Heather K. Patterson.

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Headline vs Study
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Friday, January 19, 2018

toread, paper on aging, calorie restriction

The Hsp70 homolog Ssb affects ribosome biogenesis via the TORC1-Sch9 signaling pathway Kaivalya Mudholkar1 , Edith Fitzke1 , Claudia Prinz1 , Matthias P. Mayer 2 & Sabine Rospert 1,3
https://www.nature.com/articles/s41467-017-00635-z.pdf



Are aberrant phase transitions a driver of cellular aging?Simon Alberti* and Anthony A. Hyman*
 
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5108435/





Protein biogenesis machinery is a driver of replicative aging in yeast. Georges E Janssens1†, Anne C Meinema2†‡, Javier Gonza ́lez, Justina C Wolters4, Alexander Schmidt5, Victor Guryev1, Rainer Bischoff4, Ernst C Wit3,
Liesbeth M Veenhoff1*, Matthias Heinemann2.  ELife. 
 https://elifesciences.org/articles/08527




 2018 Jan 2;217(1):51-63. doi: 10.1083/jcb.201709072. Epub 2017 Nov 10. Pathways of cellular proteostasis in aging and disease.Klaips CL1, Jayaraj GG2, Hartl FU3.
https://www.ncbi.nlm.nih.gov/pubmed/29127110