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Markov Chains

Markov Chains

Markov Chains. and hidden Markov models. Motivation - CpG islands :. CpG is a pair of nucleotides C and G , appearing successively , in this order, along one DNA strand. CpG islands are particular short subsequences in them the couple CpG is more frequent.

By dima
(313 views)

polyI:C

polyI:C

polyI:C. CpG. LPS. 0.32. 2.35. 0.92. 3.04. 0.83. 2.09. SSC. 95. 2.36. 92.8. 3.22. 95.2. 1.89. untreated. 0.65. 2.69. PI. 95.1. 1.56. A. polyI:C. CpG. LPS. untreated. 72.7. 66.1. 65.8. 69.6. FSC. B. Annexin V. Supplementary Figure 1

By teddy
(145 views)

Rhythmic Movements

Rhythmic Movements

Rhythmic Movements. Questions: How do they happen? What do they mean? Where do they come from? Reflex chain? Sequential pattern of activation? Reverberatory circuits?. Lamprey swimming. Head oscillation leads tail forward swimming. Tail leads head backward swimming.

By chibale
(181 views)

人間の二足歩行モデルにおけるシミュレーション

人間の二足歩行モデルにおけるシミュレーション

人間の二足歩行モデルにおけるシミュレーション. 翁 武淋 数理学府 研究成果報告会 2013.7.29. Conceptual diagram of walking model. CPG. Limit Cycle. Activate. Inhibit. Limit Cycle. BODY. Activity of CPG and Body has stability of limit cycle. (Ohgane,Ei,Mahara,2009). CPG. BODY. BVP Equation ( limit cycle ). CPG :.

By ilario
(127 views)

Brigadier Mark Kelly, AM Australian Army Director - Combined Planning Group US CENTRAL COMMAND

Brigadier Mark Kelly, AM Australian Army Director - Combined Planning Group US CENTRAL COMMAND

Brigadier Mark Kelly, AM Australian Army Director - Combined Planning Group US CENTRAL COMMAND. Coalition Operations. Australian Experience WW I, WW II – Coalition warfare – senior Ally lead. Post WW II – Cold War conflicts – senior Ally lead.

By nuri
(74 views)

TDP calibration and processing group (CPG): activities and status

TDP calibration and processing group (CPG): activities and status

TDP calibration and processing group (CPG): activities and status. Athol Kemball (for CPG) University of Illinois at Urbana-Champaign akemball@uiuc.edu. Current CPG membership. Calgary. Athol Kemball (Illinois) ( Chair) Geoff Bower (UCB) Jim Cordes (Cornell; TDP PI ) Joe Lazio (NRL)

By elu
(128 views)

Chg.-ODN 的免疫刺激作用

Chg.-ODN 的免疫刺激作用

Chg.-ODN 的免疫刺激作用. CPG 概念. 为非甲基化的胞嘧啶鸟嘌呤二核苷酸重复序列,即 CpG 基序。 一种免疫佐剂 作用靶点 TLR9 细胞免疫,体液免疫. Th1 免疫应答. 慢性乙型肝炎患者细胞免疫低下 HBV 免疫耐受,持续感染 肿瘤微小残留病的清除. CPG 提高 PBMC 中 Th1 细胞. Th1 占淋巴细胞百分比. CPG 提高 PBMC 中 Th1 、 Tc1 细胞百分率. *. *. * : 与对照组比较, P<0.05. CPG 刺激 BPMC 分泌细胞因子. *. * : 与对照组比较, P<0.05.

By jeneil
(215 views)

Lowering Solid Support Costs for Oligonucleotide Synthesis

Lowering Solid Support Costs for Oligonucleotide Synthesis

Introduction. To optimize the linker attachment/silanol and "n-1" oligo synthesis impurity levels, while maintaining high levels of oligo yield and overall purity.

By mio
(269 views)

UMR 599 Centre de Recherche en Cancérologie de Marseille

UMR 599 Centre de Recherche en Cancérologie de Marseille

UMR 599 Centre de Recherche en Cancérologie de Marseille. L'empreinte phylogénétique : Identification de séquences régulatrices de la transcription chez les eucaryotes supérieurs È cole-chercheur INRA La Phylogénomique : Une aide à l’étude des grandes fonctions du vivant

By jerzy
(180 views)

Promoters

Promoters

Promoters. Oriane Broustal BIO 535. Promoters. About promoters ( structure, function,…) Two types of human promoters based on CG content Bidirectional promoters in human genome. Questions:. What are the differences between eukaryotic and prokaryotic promoters?

By ivana
(263 views)

A modeling Example

A modeling Example

A+. C+. G+. T+. A-. C-. G-. T-. A modeling Example. CpG islands in DNA sequences. Methylation & Silencing. One way cells differentiate is methylation Addition of CH 3 in C-nucleotides Silences genes in region CG (denoted CpG) often mutates to TG, when methylated

By daryl
(102 views)

A modeling Example

A modeling Example

A+. C+. G+. T+. A-. C-. G-. T-. A modeling Example. CpG islands in DNA sequences. Methylation & Silencing. One way cells differentiate is methylation Addition of CH 3 in C-nucleotides Silences genes in region CG (denoted CpG) often mutates to TG, when methylated

By shayla
(89 views)

Clinical Practice Guidelines We Can Trust

Clinical Practice Guidelines We Can Trust

Clinical Practice Guidelines We Can Trust. Committee on Standards for Developing Trustworthy Clinical Practice Guidelines Board on Health Care Services. Committee on Standards for Developing Trustworthy Clinical Practice Guidelines. 2. Charge to Committee:.

By tobias-fulton
(148 views)

Hidden Markov Models

Hidden Markov Models

Hidden Markov Models. Lecture 6, Thursday April 17, 2003. Review of Last Lecture. Lecture 6, Thursday April 17, 2003. Decoding. 1. 2. 2. 1. 1. 1. 1. …. 2. 2. 2. 2. …. K. …. …. …. …. x 1. K. K. K. K. …. x 2. x 3. x K. GIVEN x = x 1 x 2 ……x N

By curran-peters
(101 views)

Strengths and challenges of the CPG development process: Canadian Society of Nephrology

Strengths and challenges of the CPG development process: Canadian Society of Nephrology

Strengths and challenges of the CPG development process: Canadian Society of Nephrology. Marcello Tonelli MD SM Chair, CSN-CPG Committee. 1.Context of guidelines. CPG are produced by and for CSN members (effort led by CPG committee)

By jessamine-frederick
(110 views)

Community Planning Group (CPG)

Community Planning Group (CPG)

Community Planning Group (CPG). Mission: The mission of the Missouri HIV/STD Prevention community planning body is to coordinate a comprehensive, community HIV/STD Prevention Plan. Community Planning Group (CPG).

By gail-huber
(101 views)

Clinical Practice Guidelines We Can Trust

Clinical Practice Guidelines We Can Trust

Clinical Practice Guidelines We Can Trust. Committee on Standards for Developing Trustworthy Clinical Practice Guidelines Board on Health Care Services. Committee on Standards for Developing Trustworthy Clinical Practice Guidelines. 2. Charge to Committee:.

By nevada-cervantes
(237 views)

Hidden Markov Models

Hidden Markov Models

Hidden Markov Models. Lecture 6, Thursday April 17, 2003. Review of Last Lecture. Lecture 6, Thursday April 17, 2003. Decoding. 1. 2. 2. 1. 1. 1. 1. …. 2. 2. 2. 2. …. K. …. …. …. …. x 1. K. K. K. K. …. x 2. x 3. x K. GIVEN x = x 1 x 2 ……x N

By chanda-olsen
(110 views)

Hidden Markov Models

Hidden Markov Models

1. 2. 2. 1. 1. 1. 1. …. 2. 2. 2. 2. …. K. …. …. …. …. x 1. K. K. K. K. x 2. x 3. x K. …. Hidden Markov Models. Viterbi, Forward, Backward. VITERBI Initialization: V 0 (0) = 1 V k (0) = 0, for all k > 0 Iteration: V l (i) = e l (x i ) max k V k (i-1) a kl

By maisie-humphrey
(128 views)

Contextualizing the findings of a croup guideline knowledge translation study

Contextualizing the findings of a croup guideline knowledge translation study

Contextualizing the findings of a croup guideline knowledge translation study. Shannon Scott-Findlay, RN, PhD (c) Ian Graham, PhD Rena Pandya, MPH Terry Klassen, MSc, MD David Johnson, MD. Acknowledgements. Post-doctoral funding provided to Scott-Findlay by:

By gage-barnes
(134 views)

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