Mathematical optimization오늘 공부하고 배운 파트의 알고리즘 의학이랑 유전체 논문 찾아보고 리스트업 한 논문들 공부하기

수요일 러닝기록▪️잘한 점• 페이스 조절 능력 크게 향상• km별 페이스 편차 매우 작음• 후반에도 큰 페이스 붕괴 없음• 파워 출력 비교적 일정• 심박이 높아도 러닝 폼 안정• 수직비율•수직진폭·접촉시간 소폭 개선• 고강도 지속 능력 확인▪️부족한 점• 동일 페이스 대비 심박 부담 여전히 큼• 후반 심박이 약 190까지 지속 상승• Zone 4~5가 전체의 83%• 심박 드리프트 큼• 후반 퍼포먼스 컨디션 감소• 유산소 경제성은 계속 보완 필요▪️다음 보완 훈련• 5~10분 워밍업• 35~45분 천천히• 대화 가능한 강도• 체감 난도 3~4/10• 페이스는 6:20~7:00이어도 괜찮음

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일단 도전

연구했던 머신러닝 감 잃지않기퀀트투자1장 12/21 공부 완료2장 12/21 공부 완료3장 12/21 공부 완료4장 패스5장 7/10 공부 완료6장 7/13 진행 중

드디어!해외저널 논문BMC Emergency Medicine 게재 + PubMed 등재✨

260712 운동기록 러닝▪️강점* 단거리 속도와 가속력* 폭발력과 순간 파워* 운동 자세와 동작 습득 능력* 코어 안정성과 전신 협응* 버피·점프·복합 기능성 운동 수행력* 고심박·고강도 상황을 견디는 능력* 힘든 상황에서도 동작을 계속 수행하는 정신적·신체적 내성* 경쟁 상황에서 높은 출력을 끌어내는 능력* 운동 센스와 폼▪️장점* 5km 27분대 페이스로 기본 속도가 좋음* 초반 이후에도 페이스가 크게 무너지지 않는 편* 마지막 구간에서 다시 끌어올리는 힘이 있음* 평균 파워가 비교적 안정적임* 케이던스·보폭·수직진폭 등 러닝 폼이 전반적으로 안정적임* 고심박에서도 계속 달릴 수 있는 고강도 내성과 버티는 힘이 좋음* 단거리·가속·폭발력·운동 자세가 강점* 코어와 전신 협응이 좋아 동작 효율이 좋은..

RNA-Seq: DESeq2 library("DESeq2") library(ggplot2) dds

Converting Human to mouse genes names with BiomaRt human -> mouse #install if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("biomaRt") #human -> mouse require("biomaRt") human = useMart("ensembl", dataset = "hsapiens_gene_ensembl") mouse = useMart("ensembl", dataset = "mmusculus_gene_ensembl") x Human 으로 하고싶다면 반대로 하면 된다. #getLDS :Retrieves informa..

DAVID Functional Annotation Tool Reference:DAVID: Functional Annotation Result Summary (ncifcrf.gov) DAVID: Functional Annotation Result Summary Key Concepts: Term/Gene Co-Occurrence Probability Ranking functional categories based on co-occurrence with sets of genes in a gene list can rapidly aid in unraveling new biological processes associated with cellular functions and pathways. DAVID 6.8 al..

Genotype The genetic makeup of an individual. Refers to the information contained on two alleles in the cell. (Examples DNA, susceptibility to diseases) Phenotype Detectable expression of the genotype. An expressed and observable trait. (Examples Hair color, eye color, weight, the ability to roll one's tongue) Reference:Genotype vs Phenotype - Difference and Comparison | Diffen Genotype vs Pheno..

Gene mapping Gene mapping describes the methods used to identify the locus of a gene and the distances between genes. Gene mapping can also describe the distances between different sites within a gene. The essence of all genome mapping is to place a collection of molecular markers onto their respective positions on the genome. Molecular markers come in all forms. Genes can be viewed as one speci..

Alignment (bioinformatics) A way of arranging DNA, RNA or protein sequences in order to identify regions of similarity. Reference:https://en.wiktionary.org/wiki/alignment alignment - Wiktionary English[edit] In alignment and out of alignment Etymology[edit] French alignement Morphologically align +‎ -ment Pronunciation[edit] alignment (countable and uncountable, plural alignments) An arrangement..

DNA sequencing DNA sequencing is the process of determining the nucleic acid sequence – the order of nucleotides in DNA. It includes any method or technology that is used to determine the order of the four bases: adenine, guanine, cytosine, and thymine. The advent of rapid DNA sequencing methods has greatly accelerated biological and medical research and discovery. Knowledge of DNA sequences has..

Morphology (biology) Morphology is a branch of biology dealing with the study of the form and structure of organisms and their specific structural features. This includes aspects of the outward appearance (shape, structure, colour, pattern, size), i.e. external morphology (or eidonomy), as well as the form and structure of the internal parts like bones and organs, i.e. internal morphology (or an..

Phenotype In genetics, the phenotype is the set of observable characteristics or traits of an organism. The term covers the organism's morphology or physical form and structure, its developmental processes, its biochemical and physiological properties, its behavior, and the products of behavior. An organism's phenotype results from two basic factors: the expression of an organism's genetic code,..

Gene ontology The Gene Ontology (GO) is a major bioinformatics initiative to unify the representation of gene and gene product attributes across all species. More specifically, the project aims to: 1) maintain and develop its controlled vocabulary of gene and gene product attributes; 2) annotate genes and gene products, and assimilate and disseminate annotation data; and 3) provide tools for eas..